Abstract
The development of new high‐performance materials in the field of polymer composites is becoming increasingly challenging as the requirements for real‐life applications evolve rapidly. In particular, the issue of heat dissipation in a multitude of devices has become a matter of critical importance due to the ever‐increasing compaction of electronic devices and the significant growth in power density stored in batteries. This calls for the development of novel solutions to enhance heat dissipation while preserving electrical insulation properties, particularly in light of safety concerns. In this context, polymer nanocomposites can play a significant role, as the incorporation of specific fillers can markedly improve their intrinsic properties, namely, low electrical conductivity, lightweightness, processability, and low cost. New fillers based on a core–shell structure have recently emerged. They are typically nanoscopic in size and synthesized through fine chemical processes to optimize their performance and ensure optimal cohesion with the polymer matrix. Nanocomposites based on core–shell nanofiller yield remarkable and highly promising outcomes, often exceeding the state of the art. This review article presents a comprehensive overview of these nanostructures and their applications, elucidating their significance and results, and discusses their role in achieving optimal heat dissipation.
Keywords: 3D printing, composites, heat dissipation, nanomaterials, thermal management
Core–shell nanoparticles open a promising route to thermally conductive and electrically insulating nanocomposites.

1. Introduction
The rapid growth of energy storage technologies and the evolution of new microelectronic systems have resulted in increasingly powerful systems. Such new systems simultaneously require greater miniaturization and further integration of components, thereby generating undesirable and potentially damaging heat for systems in operation. This has raised new challenges in further improving their performances, which have become critically dependent on the efficiency of thermal management.[ 1 , 2 ] A new class of heat dissipative structural materials needs to be developed. Besides the good thermal conductivity required for efficient heat dissipation, these materials must also demonstrate electrical insulation properties to avoid any interference with the electrical or electronic systems (short‐circuiting, over‐consumption of energy, signal propagation delay, etc.).[ 1 , 3 , 4 ] Polymeric materials are particularly well suited for meeting these requirements, except for their low intrinsic thermal conductivity which is insufficient to dissipate heat efficiently. A promising strategy for improving thermal conductivity while preserving the electrical insulating properties of polymer materials is to incorporate thermally conductive yet electrically insulating filler.[ 5 , 6 , 7 ]
Ceramics appear as suitable fillers for this purpose, as they are intrinsically electrically insulating and thermally conductive.[ 3 , 8 ] The most commonly used ceramic fillers in thermally conductive polymer nanocomposites are either ceramic oxides such as silica (SiO2),[ 9 ] alumina (Al2O3),[ 10 ] or zinc oxide (ZnO),[ 11 ] or non‐oxide ceramics such as aluminum nitride (AlN),[ 12 ] silicon nitride (Si3N4),[ 13 ] silicon carbide (SiC),[ 14 ] or hexagonal boron nitride (BN)‐based nanostructures (hBN nanosheets, hBN nanotubes).[ 15 , 16 , 17 , 18 ] However, although ceramic materials exhibit intrinsic electrical insulation (absence of free electrons), they also tend to possess lower thermal conductivities than their carbon or metallic counterparts.[ 19 , 20 , 21 , 22 ] Carbon‐based and metallic fillers generally exhibit very high thermal conductivity, but they also present a too high electrical conductivity. They are mainly used for applications that do not require advanced electrical insulation properties. Carbon‐based fillers include graphite,[ 23 ] graphene,[ 24 ] graphene oxide (GO),[ 25 ] carbon fibers (CF),[ 26 ] and multi‐walled carbon nanotubes (MWCNT).[ 22 , 27 ] Among metallic nanoparticles, the most widely used are made of gold (Au),[ 28 ] copper (Cu),[ 29 ] and silver (Ag),[ 30 ] because they exhibit the highest thermal conductivities among metals. To take advantage of this high thermal conductivity while achieving a high level of electrical insulation, it has then become necessary to develop a new type of fillers: core–shell (nano)materials.
Core–shell technology consists in the coating of one particular compound (“core”) by another of a different chemical nature (“shell”). This type of heterostructure has been designed to electrically insulate highly thermally conductive cores that also exhibit undesired electrical conduction properties (e.g., carbonaceous or metallic particles), as shown in Figure 1 .
Figure 1.

Scheme of a core–shell 1D nanostructure for the fabrication of thermally conductive and electrically insulating nanocomposites.
This strategy is also used concomitantly as an alternative functionalization method to improve dispersion and chemical compatibility between a filler and the polymer matrix. To limit electrical conductivity of carbon‐based or metallic core materials, the most commonly used shells are made of ceramic materials such as SiO2,[ 31 , 32 ] Al2O3,[33, 34 ] or hBN.[ 35 , 36 ] In comparison with the hybrid filler strategy where different shapes, sizes, and natures are mixed together,[ 37 , 38 , 39 , 40 ] core–shell technology enables the synergy effect to be focused within a single filler, minimizing the filler load required to achieve a targeted thermal conductivity. When possible, nanofillers with high aspect ratios such as 1D nanostructures (nanofibers, nanotubes, nanowires, nanorods, etc.) are preferably used as they ensure a thermal conductivity enhancement at lower loading ratios through a 3D percolative network, thereby avoiding high viscosities and processability issues.[ 30 , 41 , 42 ] In the literature, authors generally adopt the “core@shell” notation to define core–shell structures, “core” and “shell” indicating the chemical natures of the two elements. After a brief reminder of the various general concepts dealing with thermal conductivity in polymer nanocomposites, which have already been extensively reviewed over the past few years,[ 3 , 5 , 6 , 19 , 20 , 21 , 37 , 41 , 43 ] this review focuses specifically on polymer nanocomposites filled with thermally conductive and electrically insulating core@shell fillers.
A bibliometric survey, presented in Figure 2a,b, was performed to report the significant recent and growing interest in nanocomposites core–shell systems with thermal conductivity and electrical insulation properties. Ceramic@ceramic, carbon@ceramic, metal@ceramic, and core@polymer fillers are reviewed and discussed, and their use in several thermal management applications is exemplified. The thermal conductivity of some core–shell nanocomposites is presented in Figure 2c,d.
Figure 2.

Evolution of the number of publications regarding a) thermally conductive and electrically insulating nanocomposites and b) by considering polymer matrix as an element of the investigation (Scopus). c,d) Graphics representing the state of the art for different core–shell systems.
2. Thermal Conductivity in Polymer Nanocomposites
Thermal conduction results from the transfer of thermal energy within an object of varying temperatures. It can be described, in a homogeneous and isotropic medium, by the Fourier's law [Equation (1)], where represents the heat flux density, λ the thermal conductivity, and the temperature gradient oriented in the direction of temperature increase.
| (1) |
Thermal conductivity (λ) represents the intrinsic ability of a material to transfer heat. It describes the rate at which heat propagates through a material when subjected to a temperature change. Thermal conductivity values mainly depend on the material's chemical composition, density, and crystalline structure. They can be calculated using Equation (2), where α, ρ, and C p describe, respectively, the thermal diffusivity, density, and specific heat capacity of the material. These data are commonly obtained experimentally. Thermally conductive materials possess high thermal conductivity and transfer heat rapidly, while insulating materials block heat transfer and demonstrate low thermal conductivity.
| (2) |
Heat conduction in solids takes place via charge carriers (electrons, holes) or phonons (quanta of atomic lattice vibration energy). In electrically conductive solids, free electrons are the main contributors to heat transfer. On the other hand, in electrically insulating solids, devoid of free electrons (ceramics or polymers), heat conduction is mainly ensured by the contribution of phonons, generated by the vibration of the crystalline lattice in which atoms and molecules vibrate around their equilibrium position.[ 19 ] In a nonmetallic material, the more efficient the phonon transport, the higher its thermal conductivity. The thermal conductivity is expressed in Equation (3) as the product of the phonon group velocity v, the mean free path l and Cv which represents the material's volumetric heat capacity.[ 20 ]
| (3) |
If phonon transport is disrupted for whatever reason, then thermal conductivity is drastically reduced. This disturbance is commonly referred to as phonon scattering and occurs whenever a phonon undergoes a change of direction, momentum or energy (Figure 3b). In a purely crystalline filler, phonons move relatively efficiently, as organized zones of atoms favor their propagation. Thermal energy is, therefore, optimally transferred from one end of the material to the other, if the crystal is considered perfect.[ 41 ] However, at the interface with the polymer matrix, an acoustic mismatch between the crystalline filler and the amorphous polymer inevitably leads to phonon scattering (Figure 3a). This phenomenon is responsible for the appearance of interfacial thermal resistances, which are behind the overall reduction in thermal conductivity. Thermal boundary resistance (also known as Kapitza resistance[ 44 ]) is the consequence of phonon scattering resulting from the change in atomic structure between the two phases. Thermal contact resistance is associated with incomplete or poor‐quality filler–matrix adhesion, creating porosities that are detrimental to the proper circulation of phonons.
Figure 3.

Schematic diagrams of a) the discontinuity of heat transfer at the filler–matrix interface leading to phonon scattering, b) the change of energy and direction of an incident phonon at an interface causing phonon‐boundary scattering, and c) the effect of dispersion of the fillers on the formation of an efficient thermally conductive network.
The thermal conductivity of polymer nanocomposites is also governed by the level of dispersion of the fillers throughout the polymer matrix. Poor dispersion is often caused by filler agglomeration or segregation. Particle clusters are formed because of Van der Waals interaction forces and the surface energy of nanofillers. These particle clusters increase contact resistances and reduce the chances of forming conductive paths for phonons (Figure 3c), two main factors responsible for limited thermal conductivity.[ 45 , 46 ]
The morphology of the nanoparticles plays a crucial role in the thermal conductivity of nanocomposites. The formation of a 3D thermally conductive network occurs around a certain loading rate, which varies according to the size and form factor of the fillers. In addition to their intrinsic properties and the importance of interfacial interactions with the matrix to avoid phonon scattering, the fillers have to reach percolation at a low critical loading rate to form an effective thermally conductive network. For nanofillers of the same chemical composition and at equivalent loading rates, 0D particles appear to be much less effective than their 1D or 2D counterparts. This is due to a larger specific surface area with the matrix compared to their 1D or 2D counterparts of equivalent volume, and the fact that percolation can only be achieved at high concentration in terms of required contact points between 0D particles. Conversely, a high form factor (1D, 2D fillers) enables the creation of long‐range, more efficient conductive pathways with far fewer filler–matrix interfaces, allowing the formation of high performance thermally 3D percolative networks at relatively low loading rates. This also avoids high viscosities and processing issues, as well as altering the mechanical properties of the polymer composite.
A growing number of applications (electronics, LEDs, batteries, etc.) require not only good heat dissipation, but also sufficient electrical insulation to avoid possible electrical disturbances. Electrically insulating materials do not display free flowing electrons, and exhibit an electrical resistivity of at least 109 Ω cm (such as polymers or ceramics). On the contrary, electrically conductive materials include metals and carbon‐based materials, where electrons can flow freely. Due to their intrinsic electrically insulating properties, ceramic fillers have been used to develop thermally conductive and electrically insulating polymer nanocomposites. However, the thermal conductivity of ceramic materials is generally inferior to that of metallic or advanced carbon‐based materials. To make an electrically conductive composite insulating, it is thus necessary to find a way of blocking the flow of electrons while maintaining a good overall thermal conductivity. The dielectric properties of such materials are widely illustrated in the literature.[ 47 , 48 , 49 ] This is why thermally conductive and electrically insulating core–shell fillers with a metallic or carbon core and a ceramic or polymer shell are currently the focus of major development efforts.
3. Core@Shell Fillers in Thermally Conductive and Electrically Insulating Polymer Nanocomposites
3.1. Ceramic@Ceramic Fillers
In the particular case of ceramic@ceramic nanostructures where the core is already electrically insulating by itself, the shell is engineered only to provide surface functionalization to the core material in order to increase chemical compatibility with the polymer matrix and homogeneous dispersion, thereby decreasing interfacial thermal resistance and improving thermal conductive networks. Some examples of ceramic@ceramic core–shell nanostructures are presented in Figure 4 .
Figure 4.

a) Schematic representation of the oxidation process of SiC (left) and SiC@SiO2 powders (right).[ 50 ] b) Effects and mechanism of the nanolayer coating strategy on the thermal conductivity of composites.[ 51 ] c) Microscopic images of ceramic fillers coated with a ceramic shell according to different structural dimensions: (0D) spherical silicon carbide particles coated with silica (SiC@SiO2),[ 50 ] (1D) silicon carbide whiskers coated with silica (β‐SiCw@SiO2),[ 52 ] (2D) hexagonal boron nitride coated with silica (hBN@SiO2).[ 51 ] Filler content dependence of thermal conductivity for different ceramic@ceramic systems: d) SiC@SiO within a PVDF matrix,[ 53 ] e) BNMS/SiC@SiO2within an epoxy matrix,[ 50 ] and f) hBN@SiO2 within an epoxy matrix.[ 51 ] g) Infrared thermal images of epoxy‐BNMS/SiC@SiO2 at 20 wt% of BNMS, with 10, 5, and 0 wt% of SiC@SiO2 from the left to the right the respectively.[ 50 ] (a,c,e,g) Reproduced with permission.[ 50 ] Copyright 2022, Elsevier. (b,c,f) Reproduced with permission.[ 51 ] Copyright 2021, Elsevier.
3.1.1. 0D Fillers
The most common 0D ceramic cores are either made of silicon carbide (SiC), silica (SiO2), or alumina (Al2O3). Hwang et al.[ 54 ] synthesized SiC@Al2O3 core–shell particles by firstly activating the SiC surface via HF etching and H2O2 treatment. Then, the Al2O3 layer was deposited using aluminum isopropoxide (AlIP) in solution followed by a heat treatment. The SiC@Al2O3 fillers were then introduced inside an epoxy matrix to form epoxy‐SiC@Al2O3 polymer composites. It was shown that the epoxy composite using SiC@Al2O3 fillers exhibited higher thermal conductivity than the reference composite using raw SiC particles. At 65 wt% loading (equivalent to 38.4 vol% in this particular case), epoxy‐SiC@Al2O3 composites led to a thermal conductivity of 1.9 W m−1 K−1 while epoxy‐SiC composites exhibited a lower value of 1.5 W m−1 K−1. The higher thermal conductivity observed for epoxy‐SiC@Al2O3 composites was explained by the improvement of the filler–matrix interfacial adhesion leading to a decrease in thermal resistance. Moreover, the Al2O3 layer seemed to improve the electrical insulation of the composites since the electrical conductivity measured on epoxy‐SiC@Al2O3 samples was lowered compared to epoxy‐SiC composites. Zhao et al.[ 50 ] also used SiC particles as core material for SiC@SiO2 core–shell nanofillers. The SiO2 shell was synthesized by heat‐treating SiC nanoparticles for 4 h at 600 °C under air atmosphere. In this particular case, the SiC@SiO2 0D ceramic core–shell nanoparticles were mixed together with boron nitride microsphere (BNMS) as a co‐filler in an epoxy matrix. With the addition of 10 wt% of SiC@SiO2 core–shell nanoparticles to the epoxy‐BNMS (20 wt%) composite, the thermal conductivity increased up to 0.76 W m−1 K−1. This improvement in thermal conductivity was explained by a synergetic effect between the BNMS and the SiC@SiO2 nanoparticles, where more heat transfer paths and a well‐constructed thermal percolation transport network were achieved. Rybak et al.[ 55 ] reported two kinds of ceramic@ceramic core–shell particles loaded inside an epoxy matrix: SiO2@Si3N4 and Al2O3@AlN. These core–shell fillers were synthesized by a carbothermal reduction and nitridation process (CTRN). In both cases, the thermal conductivity value was increased compared to the one measured on epoxy‐SiO2 and epoxy‐Al2O3 composites, respectively, and reached 1.17 W m−1 K−1 for the epoxy‐Al2O3@AlN composite loaded at 31 vol%. This thermal conductivity enhancement was also explained by the reduction of the interfacial thermal resistance through filler‐matrix interface improvement, especially because Si3N4 and AlN exhibit higher intrinsic thermal conductivities (100–200 and 100–320 W m−1 K−1, respectively) compared to their respective core materials (1.5 W m−1 K−1 for SiO2 and 20–35 W m−1 K−1 for Al2O3).
3.1.2. 1D Fillers
Ceramic@ceramic core–shell fillers are also available as 1D fillers. Zhou et al.[ 53 ] and Cao et al.[ 52 , 56 ] both studied SiC@SiO2 nanowires as fillers in a PVDF matrix. In both studies, the authors found that the thermal conductivity was improved using SiC@SiO2 core–shell nanofillers instead of raw SiC nanowires. The highest reported values were 1.72 W m−1 K−1 at 40 wt% (27.7 vol%) loading for the study of Zhou et al. and 1.22 W m−1 K−1 at 24.4 wt% (15.6 vol%) loading for the study of Cao et al. The thermal conductivity enhancement was ascribed to the improvement of filler–polymer interfacial interactions through hydrogen bonding between PVDF and the Si─OH groups of the SiO2 shell. The significantly improved interfacial compatibility greatly reduces defects and voids within the boundary zone. This, in turn, mitigates the phonon scattering phenomenon, thereby facilitating phonon transport across the interface. Moreover, the SiO2 shell provided a better electrical insulation and improved dielectric properties to the PVDF‐SiC@SiO2 composite compared to the PVDF‐SiC composite thanks to its remarkable insulating behavior.
3.1.3. 2D Fillers
Most ceramic fillers are based on 2D hexagonal boron nitride (hBN) because it exhibits the highest intrinsic thermal conductivity among ceramics (200–300 W m−1 K−1). However, they often suffer from poor interfacial interactions with the polymer matrix, resulting in low thermal conductivity values for the composite. Yan et al.[ 57 ] grafted Al2O3 onto the surface of boron nitride nanosheets (BNNS) to form BNNS@Al2O3 thermally conductive and electrically insulating 2D core–shell nanofillers. Incorporated inside a silicone rubber matrix, this hybrid core–shell nanofiller provided a thermal conductivity of 2.86 W m−1 K−1 at 30 wt% loading in the in‐plane direction, while maintaining a good electrical resistivity of 5.80 × 1011 Ω cm. Tang et al.[ 58 ] coated hBN particles with silica through a sol‐gel process after activation of the hBN surface via physical adsorption of polyvinylpyrrolidone (PVP). The resulting hBN@SiO2 core–shell particles with a silica layer thickness of ≈20–30 nm were introduced in a PMMA matrix to form PMMA‐hBN@SiO2 composites via solution mixing. At 40 vol% loading, PMMA‐hBN@SiO2 composites exhibited a thermal conductivity of 5.58 W m−1 K−1, which was higher than the PMMA‐hBN reference composite. The better filler–matrix interfacial interaction provided by the SiO2 interlayer allowed reducing the interfacial thermal resistance, thus favoring phonon transport at the interface, and increasing the overall thermal conductivity. This superior filler–matrix cohesion also contributed to strengthen the composite with an improvement in the ultimate tensile strength (almost doubled) compared to the PMMA‐hBN composite. Similarly, Liang et al.[ 51 ] synthesized SiO2 nanolayers on hBN using a sol‐gel method with varying initial concentrations of TEOS (SiO2 precursor) to obtain different SiO2 thicknesses varying from 15 to 70 nm. Once purified, the resulting hBN@SiO2 core–shell fillers were introduced in an epoxy matrix to obtain epoxy‐hBN@SiO2 composites. At 20 vol% filler loading, the epoxy composites filled with the hBN@SiO2 particles with a SiO2 thickness of 15 nm exhibited a higher thermal conductivity than that of the composites filled with raw hBN (1.33 vs 1.16 W m−1 K−1, respectively). However, at higher SiO2 thicknesses (50 and 70 nm), the thermal conductivity enhancement inverted and the thermal conductivity value decreased down to 1.24 and 1.06 W m−1 K−1, respectively. For SiO2 thicknesses below 15 nm, the thermal conductivity enhancement can mainly be ascribed to the improvement of the wettability between the filler and the polymer matrix thanks to hydroxyl groups present at the surface of hBN@SiO2 fillers. This leads to a better interfacial interaction, reducing phonon scattering at the interface. On the other hand, for samples with thicker SiO2 shells (50 and 70 nm), the low intrinsic thermal conductivity of SiO2 (≈1.5 W m−1 K−1) gradually restrains the heat transfer at the filler–matrix interface by reducing the group velocity of phonons, thus leading to lower thermal conductivities. Awais et al.[ 59 ] studied the synergetic effects between surface‐modified hBN and TiO2@SiO2 fillers within an epoxy matrix on the overall thermal conductivity and electrical insulation of the prepared nanocomposite. The TiO2@SiO2 core–shell nanostructures were synthesized by a sol‐gel reaction in the presence of TEOS on the surface of TiO2 particles, whereas the surface of hBN was modified with dopamine‐HCl. Both fillers were incorporated in various proportions in an epoxy matrix. The authors found that the thermal conductivity was improved by increasing the proportion of hBN, whereas the electrical insulation properties were enhanced in the presence of TiO2@SiO2 core–shell nanostructures. At 10 wt% of hBN and 3 wt% of TiO2@SiO2, the thermal conductivity of the nanocomposite reached 0.67 W K−1 m−1. Some results concerning ceramic@ceramic core–shell filled polymer nanocomposites are gathered in Table 1 .
Table 1.
Thermal conductivities and electrical resistivities of polymer nanocomposites made with ceramic@ceramic core–shell nanofillers.
| Polymer matrix | Core–shell filler | Surface activation of the core | Nanocomposite processing route | Loading ratio [wt%‐vol%] | Thermal conductivity of the pure polymer matrix [W m−1 K−1] | Thermal conductivity of the nanocomposite [W m−1 K−1] | Electrical resistivity [Ω cm] | Ref. |
|---|---|---|---|---|---|---|---|---|
| Epoxy | SiC@Al2O3 | HF etching + H2O2 treatment | Blending | 65‐38 | n.a. | 1.9 | n.a. | [54] |
| Epoxy | Al2O3@AlN | – | n.a.‐31 | 1.17 | n.a. | [55] |
| SR | BNNS@Al2O3 | – | Blending | 30‐n.a. | 1.01 | 2.86 | 5.80 × 1011 | [57] |
| PMMA | hBN@SiO2 | PVP (amphiphile polymer) | Solvent | n.a.‐40 | 0.16 | 5.58 | n.a. | [58] |
| Epoxy | hBN@SiO2 | – | Solvent | n.a.‐20 | 0.25 | 1.33 | n.a. | [51] |
3.2. Carbon@Ceramic Fillers
Of the three types of filler available to improve the thermal conductivity of polymer nanocomposites, carbon‐based fillers exhibit the highest theoretical intrinsic thermal conductivities. Unfortunately, they are also very good electrical conductors. Several strategies for producing electrically insulating coatings on the surface of carbonaceous fillers have therefore been developed to overcome this issue. Some examples of carbon@ceramic core–shell nanostructures are presented in Figure 5 .
Figure 5.

Carbon fillers with a ceramic coating can improve electrical insulation and maintain a high thermal conductivity in nanocomposites. a) Microscopic images of carbon fillers coated with a ceramic shell according to different structural dimensions: (0D) spherical carbon black particles coated with boron nitride (SR@BN),[ 35 ] (1D) multi‐walled carbon nanotubes coated with silica (MWCNT@SiO2),[ 31 ] (2D) graphite nanosheets coated with silica (Graphite@SiO2).[ 60 ] Filler content dependence of thermal conductivity and surface resistivity for different carbon@ceramic systems: b) Graphite@SiO2 within a polyester elastomer matrix[ 61 ] and d) MWCNT@SiO2 within and an epoxy matrix.[ 31 ] c) Surface modification scheme of graphite via PVP functionalization and TEOS hydrolysis to produce a silica layer. (a) Reproduced with permission.[ 35 ] Copyright 2023, Elsevier. (a,d) Reproduced with permission.[ 31 ] Copyright 2021, Elsevier. (a) Reproduced with permission.[ 60 ] Copyright 2014, Elsevier. (b,c) Reproduced with permission.[ 61 ] Copyright 2013, Elsevier.
3.2.1. 0D Fillers
0D carbon‐based particles such as carbon black are usually not used as core material for core–shell fillers because they do not exhibit very high thermal conductivity compared to their 1D or 2D counterparts. However, some authors still consider coating 0D carbon particles with ceramic shells. Kong et al.[ 35 ] reported a boron nitride coating on the surface of spherical graphite (SG) particles. The SG surface was firstly activated by grafting polydopamine (PDA) before coating BN layers using boric acid and melamine in solution, followed by two thermal annealing processes (under ammonia then dry nitrogen atmosphere). The resulting SG@BN core–shell particles were finally incorporated into a silicon rubber (SR) matrix to form SR‐SG@BN composites. Thermal conductivity of such composite reached a value of 3.65 W m−1 K−1 at a high 70 vol% loading. The BN conformal coating on SG@BN core–shell fillers proved efficient to improve electrical properties such as breakdown voltage, electrical resistivity, and dielectric properties.
3.2.2. 1D Fillers
Most 1D carbon‐based cores are either made of MWCNT or CF. The majority of ceramic shells regarding carbon@ceramic core–shell fillers with MWCNT cores is made of silica SiO2.[ 31 , 62 , 63 , 64 , 65 ] In these studies, the SiO2 shell was synthesized through a sol‐gel process using TEOS as a precursor after activating the MWCNT surface beforehand.
The easiest and most common method to activate MWCNTs is through oxidation processes, which create hydroxyl grafting sites on their surface. This preliminary step is usually performed under strong acidic conditions using a combination of hot concentrated nitric acid (HNO3) and sulfuric acid (H2SO4), with a volume ratio V HNO3/V H2SO4 from 3:1[ 31 , 65 ] to 1:3.[ 62 , 64 ] Thanks to the hydroxyl groups formed at the surface of MWCNTs following this severe acidic treatment, it is possible to make hydrolyzed TEOS molecules react at the surface of MWCNT‐OH through condensation reactions performed under basic conditions (usually using NH4OH as a catalyst). Then, these MWCNT@SiO2 core–shell nanofillers are incorporated in a polymer matrix to form polymer‐MWCNT@SiO2 nanocomposites. Cui et al.[ 31 ] studied epoxy‐MWCNT@SiO2 nanocomposites and reported a thermal conductivity value of 0.24 W m−1 K−1 with an electrical resistivity value of 6.90 × 1016 Ω cm at 1 wt% (0.5 vol%) loading ratio. Zhao et al.[ 65 ] used polyurethane (PU) as the polymer matrix and reported a thermal conductivity value of 0.31 W m−1 K−1 for an electrical resistivity of 1.00 × 1014 Ω cm at 1 wt% (0.58 vol%) loading ratio. Hu et al.[ 62 ] chose to mix 1D MWCNT@SiO2 core–shell fillers with modified hBN 2D ceramic filler (1:4 mass ratio), creating a hybrid thermally conductive network within a PVDF matrix. The bridging between hBN 2D fillers offered by the presence of 1D MWCNT@SiO2 fillers led to enhanced thermal conductivity with values reaching 1.51 W m−1 K−1 at 25 wt% (≈22 vol%) loading ratio, while exhibiting satisfying electrical resistivity of 3.50 × 1012 Ω cm. Based on the same approach, Wu et al.[ 66 ] prepared MWCNT@BN/SiO2 core–shell nanostructures within a PVDF matrix to observe the synergetic effects of 1D MWCNT fillers and 2D BN dimensions. At 30 wt% hBN loading, the PVDF‐MWCNT@BN/SiO2 composite exhibits an electrically insulating behavior with an electrical resistivity of 3.6 × 1015 Ω cm. Out‐of‐plane and in‐plane thermal conductivities were measured at 0.508 and 1.564 W m−1 K−1, respectively. Further functionalization of the SiO2 shell is also possible by making smart use of the pendant silanol groups. Yu et al.[ 67 ] used aminopropyltriethoxysilane (APTES) and bismaleimide (BMI) to form a double shell at the surface of MWCNTs. The organic compound of BMI is believed to enhance the compatibility of MWCNT with the epoxy matrix, leading to better thermal conductivity values up to 0.45 W m−1 K−1 at 1.25 wt% (≈0.62 vol%) loading ratio. Thanks to this engineered double shell, not only was the thermal conductivity improved, but the electrical resistivity was also preserved (2.90 × 1015 Ω cm).
However, the formation of hydroxyl groups using such severe surface activation processes often comes at the expense of the structural integrity of the MWCNT crystalline structure. Several defects are thus created at the surface of MWCNTs, thereby increasing phonon scattering within the nanotube, which in turn results in reducing drastically their thermal conductivity.[ 41 , 68 ] For this reason, some authors proposed to use an alternative approach based on a noncovalent activation process. This softer activation process relies on the use of physical interactions between the MWCNT surface and the intermediate substance. Wang et al.[ 69 ] used the CTAB surfactant (cetyltrimethylammonium bromide) to functionalize the surface of MWCNTs. The silanization reaction then proceeds in the same way as for oxidatively activated MWCNTs (using TEOS in basic conditions). In an epoxy matrix, they obtained a thermal conductivity value of 0.55 W m−1 K−1 at 1 wt% (≈0.5 vol%) loading ratio, which is more than twice better than the value obtained by Cui et al.[ 31 ] who used a severe activation process, while preserving the electrical insulation property of the epoxy‐MWCNT@SiO2 nanocomposite with an electrical resistivity of 2.00 × 1012 Ω cm.
SiO2 shells aside, some studies focused on other ceramic shells for MWCNT@ceramic core–shell nanofillers. After an oxidative treatment performed with concentrated nitric acid to primarily functionalize the surface of MWCNTs with ─OH and ─COOH groups, Yan et al.[ 70 ] managed to prepare MWCNT@BN core–shell nanostructures through the use of boric acid H3BO3 and urea in ethanol. The BN shell was then obtained after a thermal treatment in a furnace (3 h at 900 °C under NH3 atmosphere). Polyimide (PI)‐MWCNT@BN nanocomposites were then synthesized through in situ polymerization of diamine and dianhydride monomers followed by thermal imidization. At 3 wt% (≈1.98 vol%) MWCNT@BN loading, the thermal conductivity of the nanocomposite reached a value of 0.39 W m−1 K−1, which was five times higher than PI‐MWCNT films. This thermal conductivity enhancement was explained by the improvement of the dispersion, and the improved interface between the MWCNT@BN nanofiller and the PI matrix. The BN shell allowed the electrical resistivity of the PI‐MWCNT@BN nanocomposite to be higher than the reference PI‐MWCNT nanocomposite (up to 7.69 × 109 Ω cm). Du et al.[ 71 ] synthesized MWCNT@MgO core–shell nanostructures after prior MWCNT surface activation by acid treatment. For the MgO shell to be fabricated at the surface of the oxidized MWCNT, a MgCl2 solution was added to the nanotube suspension prior to addition of ammonia to convert Mg2+ ions into Mg(OH)2. A thermal treatment for 4 h at 600 °C under argon atmosphere eventually yielded MWCNT@MgO core–shell nanostructures with an ≈15‐nm MgO shell thickness. These nanofillers were added in an epoxy resin, then thermally cured to finally obtain epoxy‐MWCNT@MgO nanocomposites. The MgO layer promoted the interfacial interaction between MWCNTs and the epoxy matrix, leading to an improvement of the thermal conductivity up to 0.36 W m−1 K−1 at 2 wt% (≈1 vol%) loading. The electrical insulation properties of the epoxy matrix were preserved in the epoxy‐MWCNT@MgO nanocomposite thanks to the insulating MgO ceramic shell, the electrical resistivity being measured at 2.40 × 1016 Ω cm.
CFs are seldom used as cores for 1D carbon@ceramic core–shell nanostructures. Zhang et al.[ 72 ] deposited a SiC shell on MWCNT via a chemical vapor deposition (CVD) method to fabricate CF@SiC core–shell nanofillers. Following their fabrication, these nanofillers were introduced in a PDMS matrix to form PDMS‐CF@SiC composites. At 20 wt% loading, the thermal conductivity reached 0.98 W m−1 K−1 while the electrical resistivity was at the edge of the insulating zone (3.91 × 108 Ω cm). Huang et al.[ 73 ] synthesized CF@BN core–shell nanostructures by a cooling precipitation method and a thermal treatment. After incorporation in a silicon rubber by an extrusion process, CF@BN nanofillers provided to the nanocomposite a thermal conductivity value of 12.06 W m−1 K−1 and an electrical resistivity of 5 × 109 Ω cm at 20 wt% loading.
3.2.3. 2D Fillers
2D carbon cores are usually made of graphite or graphene nanoplatelets (GNPs). As for the 1D core–shell fillers based on MWCNTs, most 2D carbon@ceramic core–shell fillers are made with a SiO2 shell. However, contrary to what has been observed for 1D MWCNT@SiO2 core–shell nanofillers, 2D graphite@SiO2 fillers are mainly fabricated with a prior noncovalent activation, instead of a severe oxidation. For instance, Choi et al.[ 61 , 74 ] used PVP (M w = 40 000 g mol−1) as a coupling agent to activate the surface of raw graphite flakes prior to the reaction with TEOS molecules. The first step consisted in the physical adsorption of PVP on graphite surface by firstly dissolving a certain amount of PVP into water, then adding raw graphite to the solution. After proper sonication and vigorous mixing, the PVP‐adsorbed graphite was filtered and rinsed with water. Then, it was redispersed in ethanol and a certain amount of NH4OH was introduced in the solution to catalyze the condensation of TEOS molecules at the surface of PVP‐grafted graphite. The authors reported that a uniform film of silica was grown at the surface of PVP‐grafted graphite in particular optimum conditions (60 wt% of PVP and 120 wt% of TEOS with respect to the amount of graphite). They proposed a mechanism that explains the PVP‐assisted silica‐coating method (Figure 5c). At sufficiently high pH, the PVP undergoes keto–enol tautomerization, which reveals an equilibrium between its carbanion and its enolate ion. This is theoretically on the enolate ion (or the enol) that hydrolyzed TEOS molecules react to finally form the SiO2 shell through condensation reactions. In their study, Choi et al.[ 61 ] measured a SiO2 shell thickness at ≈50–60 nm on their graphite@SiO2 core–shell particles, via TEM images. Once introduced inside a polymer matrix (a thermoplastic polyester elastomer, TPEE), the graphite@SiO2 fillers provided a thermal conductivity of 2.39 W m−1 K−1 in the parallel direction, at 80 phr (44 wt%) loading, which was 32.5% lower than the value measured on TPEE‐raw graphite composites. Although the SiO2 shell provided electrical insulation to the composite (electrical resistivity measured at 1.00 × 1013 Ω cm), its rather large layer thickness retarded the phonon propagation which finally contributed to the decrease of the overall thermal conductivity. Noma et al.[ 60 ] also produced graphite@SiO2 core–shell particles by a surfactant assisted sol‐gel method, using CTAB instead of PVP as the coupling agent. The thermal conductivity measured on their polymer‐graphite@SiO2 composite, using polybutylene terephthalate polyester resin (PBT) as the polymer matrix, reached 3.3 W m−1 K−1 at 22.9 vol% (≈34 wt%) loading, while the electrical resistivity was satisfyingly high (1.0 × 1014 Ω cm). Kim et al.[ 75 ] studied the influence of various amphiphiles on the quality of fabrication of graphite@SiO2 core–shell particles. In their study, they compared five different coupling agents including two surfactants (sodium dodecyl sulfate or SDS, and octyphenyl ethoxylate or Triton X‐100) and three polymers (PVP, PEG, and lignin), and some combinations between them. They concluded that the best way to obtain a smooth SiO2 layer at the surface of the graphite flakes was by using a combination of Triton X‐100 and PEG. In another study,[ 76 ] they introduced their as created graphite@SiO2 core–shell fillers in a TPEE matrix to form TPEE‐graphite@SiO2 composites. They assessed their thermal and electrical properties, and similarly to what has been previously observed by Choi et al., they found that the 45–65‐nm‐thick SiO2 layer on graphite@SiO2 caused a decrease in thermal conductivity of the composite compared to the TPEE‐raw graphite composite (20% lower, from 2.6 to 2.1 W m−1 K−1 at the same 30 vol% filler loading). However, the SiO2 shell provided the expected electrical insulation properties. Compared to the standard ceramic fillers studied (BN and alumina), the graphite@SiO2 core–shell fillers provided the best trade‐off, showing the very competitive interest of the core–shell technology for thermally conductive and electrically insulating polymer composites.
Other ceramic shells were also investigated for graphite cores. Liu et al.[ 34 ] prepared graphite@Al2O3 core–shell particles through graphite surface activation by a surfactant (SDS). Subsequently, the suspension was stirred and an Al(NO3)3‐9H2O and NaOH aqueous solutions was added into the suspension. After obtaining graphite@Al(OH)3, the product was thermally treated in a tubular furnace at 600 °C for 3 h to finally obtain the expected graphite@Al2O3 core–shell particles. The latter were then added to a mixture of phthalonitrile (PN) monomers and a curing agent to obtain PN‐graphite@Al2O3 composites after thermal curing. At 20 wt% loading, the composite filled with the graphite@Al2O3 fillers was still electrically insulating (electrical resistivity of 1.33 × 1010 Ω cm), whereas the PN‐graphite composite was electrically conductive upon loading of 5 wt% or more. The thermal conductivity was measured at 0.7 W m−1 K−1 at 20 wt% loading, which was a little bit lower than the value measured on PN‐graphite composites but largely higher than the composites using only Al2O3 fillers. This demonstrates once again the interest of using core–shell fillers instead of standard ceramic fillers.
Graphene sheets (GS), usually obtained by exfoliating graphite flakes, are innovative carbon‐based fillers. Several authors considered using GS and GNPs as the core material of core–shell nanostructures for thermally conductive and electrically insulating polymer nanocomposites. Similarly to graphite@SiO2 core–shell particles, graphene@SiO2 core–shell nanostructures have been developed. Pu et al.[ 77 ] exfoliated graphite oxide into GO sheets by ultrasonication. To facilitate the grafting of hydrolyzed TEOS molecules on the surface of the graphene sheets, an intermediate step consisting of grafting APTES at the surface of the graphene oxide sheets was conducted. The graphene@SiO2 core–shell particles were then obtained through a sol‐gel process using TEOS as a precursor of SiO2 and under basic conditions (using NH4OH) in an ethanol‐water solution, as described hereinbefore. Once obtained, these core–shell nanofillers were introduced in an epoxy matrix to form epoxy‐graphene@SiO2 nanocomposites. Thanks to the SiO2 layer, the epoxy‐graphene nanocomposite became electrically insulating with an electrical resistivity measured at 1.70 × 1014 Ω cm at 8 wt% (≈3.8 vol%). The thermal conductivity was also increased by 72%, up to 0.3 W m−1 K−1. This increase in thermal conductivity performance was explained by a modulus mismatch reduction between the filler and the matrix and by the improvement of the interfacial interaction ascribed to the SiO2 interlayer. Shen et al.[ 78 ] prepared silica‐coated graphene nanoplatelets (GNP@SiO2) through the use of the cationic surfactant CTAB as the intermediate grafting site. Once the CTAB physically adsorbed onto the GNP surface after ultrasonication in an ethanol‐water solution, GNP@SiO2 core–shell particles were obtained via the same sol‐gel process described previously using TEOS. When dispersed in the PDMS, GNP@SiO2 core–shell nanofillers provided to the nanocomposite a thermal conductivity value of 0.5 W m−1 K−1 at 2 wt% (≈0.9 vol%) loading, a little higher than the value measured on PDMS nanocomposites using raw GNPs. Most interestingly, the PDMS‐GNP@SiO2 nanocomposites remained electrically insulating with electrical resistivity values above 1013 Ω cm, whereas the PDMS‐raw GNPs nanocomposites became electrically conductive upon loading of 1 wt% or more. Wang et al.[ 79 ] fabricated modified GNP@SiO2 core–shell particles using CTAB as a primer, following the same scheme developed by Shen et al. A significant difference lies in the fact that Wang et al. mixed an organosilane (MPS) with TEOS during the sol‐gel synthesis step, thereby forming a hybrid GNP@SiO core–shell nanofiller. Once introduced in an epoxy matrix, GNP@SiO increased the thermal conductivity of the epoxy‐GNP@SiO nanocomposite up to 0.8 W m−1 K−1 at 1 wt% (≈0.46 vol%) while remaining electrically insulating (electrical resistivity of 3.0 × 1012 Ω cm). Interestingly, when Ag nanoparticles were grown at the surface of the GNP@SiO core–shell nanostructures, the corresponding epoxy‐GNP@SiO@Ag nanocomposite exhibited an even higher thermal conductivity value of 1.03 W m−1 K−1 at the same loading ratio of 1 wt%, while remaining electrically insulating.
As for graphite cores, other ceramic shells such as Al2O3 were investigated for graphene sheets and nanoplatelets. Qian et al.[ 80 ] coated graphene sheets with alumina by electrostatic self‐assembly. More precisely, Al2O3 nanoparticles were firstly modified with an aminosilane (APTES) which rendered the Al2O3 surfaces positively charged. At the same time, graphene oxide was prepared by a modified Hummers method, which is a chemical exfoliation method. Graphene oxide is believed to be negatively charged due to the hydroxyl, carboxyl, and epoxide functional groups on its surface. The modified Al2O3 nanoparticles were then assembled with graphene oxide to form GO@Al2O3 core–shell particles by favorable electrostatic interactions. The GO@Al2O3 particles were eventually chemically reduced with hydrazine to obtain the expected GS@Al2O3 core–shell nanofillers. Once added into a PVDF matrix to form PVDF‐GS@Al2O3 nanocomposites, thermal and electrical properties were investigated. At 40 wt% loading (≈34 vol%), thermal conductivity increased as the amount of Al2O3 at the surface of GS increased until an optimum was reached using a mass ratio of GS to Al2O3 equal to 1:20. At this point, electrical resistivity was measured at 4.10 × 1014 Ω cm and thermal conductivity at 0.59 W m−1 K−1. The Al2O3 interlayer contributed to lower the interfacial thermal resistance through the lowering of the acoustic mismatch between GS and PVDF. However, with more Al2O3 at the surface of GS, the electrical resistivity was increased but thermal conductivity decayed due to the low intrinsic thermal conductivity of Al2O3. Sun et al.[ 81 ] fabricated GNP@Al2O3 using two comparative methods. Their GNPs were obtained by thermal exfoliation of graphite oxide followed by annealing in an argon atmosphere. The first approach consisted in using supercritical carbon dioxide in the presence of Al(NO3)3‐9H2O precursor in a high‐pressure autoclave. After reaction, the resultant product was calcined at 600 °C for 3 h in an inert atmosphere to obtain GNP‐sc@Al2O3 core–shell nanostructures with uniformly dispersed Al2O3 nanoparticles coated onto the GNPs. The second approach consisted in using an aqueous buffer solution of formic acid and ammonium formate (pH = 4.4). GNPs mildly treated with HNO3 were then added to the buffer solution with addition of Al2(SO4)3‐18H2O as a precursor. The product was calcinated in the same conditions as that for the first approach and GNP‐bs@Al2O3 core–shell nanostructures with uniform Al2O3 nanolayers were retrieved. The two species of GNP@Al2O3 prepared in different conditions were finally incorporated in an epoxy matrix to form epoxy‐GNP@Al2O3 nanocomposites. For comparison, epoxy‐based composites loaded with other commercial fillers were also prepared. At 12 wt% filler loading, the epoxy‐based nanocomposite using GNP‐bs@Al2O3 nanofillers exhibited the best thermal conductivity compared to other fillers such as Al2O3, hBN, MWCNTs, and raw GNPs. The thermal conductivity values were also superior to that measured for epoxy‐GNP‐sc@Al2O3 nanocomposites, showing that a uniform Al2O3 nanolayer is more efficient in reducing interfacial thermal resistance than several uniformly dispersed Al2O3 nanoparticles. For epoxy‐GNP‐bs@Al2O3 nanocomposites, the thermal conductivity reached 1.49 W m−1 K−1 at 12 wt% (≈6.6 vol%) loading. Moreover, the Al2O3 nanolayer made the epoxy‐GNP@Al2O3 nanocomposite electrically insulating with a low electrical conductivity measured value of 6.70 × 10−9 S m−1. Therefore, using a GNP@Al2O3 core–shell nanofiller not only reduced the electrical conductivity, which is needed for electronic packaging applications, but also improved the thermal dissipation performance by increasing the thermal conductivity of the nanocomposite compared to other standard ceramic fillers. The thermal conductivities and electrical resistivities of polymer nanocomposites made with carbon‐based core–shell nanofillers are summarized in Table 2 .
Table 2.
Thermal conductivities and electrical resistivities of polymer nanocomposites made with carbon‐based core–shell nanofillers.
| Polymer matrix | Core–shell filler | Surface activation of the core | Nanocomposite processing route | Loading ratio [wt%‐vol%] | Thermal conductivity of the pure polymer matrix [W m−1 K−1] | Thermal conductivity of the nanocomposite [W m−1 K−1] | Electrical resistivity [Ω cm] | Ref. |
|---|---|---|---|---|---|---|---|---|
| Epoxy | MWCNT@SiO2 | Acid treatment (HNO3/H2SO4) | Solvent | 1.0‐0.5 | 0.14 | 0.24 | 6.90 × 1016 | [31] |
| PU | 1.0‐0.58 | 0.18 | 0.31 | 1.00 × 1014 | [65] | |||
| PVDF | MWCNT@SiO2 (hybridized with hBN) | Solvent | 25 (mass ratio MWCNT@SiO2:hBN = 1:4) | 0.22 | 1.51 | 3.50 × 1012 | [62] | |
| Epoxy | MWCNT@SiO2‐g‐BMI | Blending | 1.25‐0.62 | 0.20 | 0.45 | 2.90 × 1015 | [67] | |
| Epoxy | MWCNT@SiO2 | CTAB (surfactant) | 1.0‐0.5 | 0.19 | 0.55 | 2.00 × 1012 | [69] |
| PI | MWCNT@BN | Acid treatment (HNO3) | Solvent | 3.00‐1.98 | 0.19 | 0.39 | 7.69 × 109 | [70] |
| Epoxy | MWCNT@MgO | Acid treatment (HNO3/H2SO4) | Solvent | 2.0‐1.0 | 0.19 | 0.36 | 2.40 × 1016 | [71] |
| PVDF | MWCNT@BN/SiO2 | – | Solvent | 30‐n.a. | 0.14 | 1.56 | n.a. | [66] |
|
SR (silicon rubber) |
CF@BN |
Cooling precipitation (polyacrylic acid/H3BO3 /C3H6N6) Thermal treatment |
Blending | 20‐n.a. | n.a. | 12.06 | 5 × 109 | [73] |
| TPEE | Graphite@SiO2 | PVP (amphiphile polymer) | Blending | 44‐n.a. | 0.20 | 2.39 | 1.00 × 1013 | [61] |
| PBT | CTAB (surfactant) | 34.0‐22.9 | n.a. | 3.3 | 1.0 × 1014 | [60] | ||
| TPEE | Triton X‐100 / PEG (polymers) | n.a.‐30 | 0.25 | 2.1 | >1011 | [76] |
| Epoxy | Graphene@SiO2 | APTES silanization (after graphite exfoliation) | Solvent | 8.0‐3.8 | 0.17 | 0.3 | 1.70 × 1014 | [77] |
| PDMS | GNP@SiO2 | CTAB (surfactant) | 2.0‐0.9 | 0.20 | 0.5 | >1013 | [78] | |
| Epoxy | GNP@SiO | Blending | 1.0‐0.46 | 0.18 | 0.8 | 3.0 × 1012 | [79] |
3.3. Metal@Ceramic Fillers
The last category of core–shell nanofillers discussed here features nanostructures with a metallic core. Metallic fillers generally exhibit fewer defects than carbonaceous fillers, and their intrinsic thermal conductivities are experimentally comparable, if not superior (at least for the most conductive metals, such as copper and silver). Selected examples of such structures are highlighted in Figure 6 .
Figure 6.

a) SEM images of AgNWs@SiO2 core–shell nanostructures at various thicknesses of silica. Reproduced with permission.[ 82 ] Copyright 2024, Elsevier. b) SEM images of PC‐AgNW and PC‐AgNWs@SiO2 nanocomposites. c) Schematic illustration of the core–shell formation of Al@Al2O3@SiO2 particles.[ 83 ] d) TEM images of Al@Al2O3 and Al@Al2O3@SiO2 core–shell particles and its multilayer coating structure.[ 83 ] e) Filler content dependence of thermal conductivity and volume electrical resistivity for systems composed of AgNWs and AgNWs@SiO2. Reproduced with permission.[ 84 ] Copyright 2014, Elsevier.
3.3.1. 0D Fillers
Among metal@ceramic fillers, the most straightforward to implement are those in which the insulating shell is the oxide obtained from the metal constituting the core, usually through self‐passivation. For Al cores, the encapsulating shell is therefore made of its most common oxide, Al2O3, to produce Al@Al2O3 core–shell particles. Mao et al.[ 85 ] fabricated several Al@Al2O3 core–shell fillers with various Al2O3 layer thickness by passivating the Al core in a furnace set at different temperatures ranging from 200 to 600 °C, for 8 h under an air atmosphere. While there was almost no Al2O3 at the surface of the Al cores under 300 °C, a thin Al2O3 layer began to grow at 400 °C and it thickened with increasing temperature (4, 9, and 11 nm for 400, 500, and 600 °C, respectively). Then, the authors incorporated these Al@Al2O3 core–shell particles in an epoxy matrix to form epoxy‐Al@Al2O3 nanocomposites. At 60 wt% (≈37 vol%) loading, the electrical resistivity of the nanocomposite filled with Al@Al2O3 nanofillers with a 9‐nm‐thick Al2O3 nanolayer was measured at 4.50 × 1013 Ω cm. The thermal conductivity progressively decreased with increasing Al2O3 thickness, but was still satisfying with a 0.92 W m−1 K−1 measured value. Xu et al.[ 83 ] fabricated double core–shell structured Al@Al2O3@SiO2 particles through a prior self‐passivation of the Al core to form an Al@Al2O3 intermediate, followed by the addition of PVP in ethanol to activate the surface of Al2O3. TEOS, NH4OH and water were finally added to build the SiO2 nanolayer on top of the Al2O3 layer by a sol‐gel process. Once introduced in an epoxy matrix up to a 40 wt% loading, the Al@Al2O3@SiO2 core–shell nanofillers increased the thermal conductivity of the epoxy‐ Al@Al2O3@SiO2 nanocomposite up to 0.53 W m−1 K−1 while maintaining its electrical insulation with an electrical resistivity measured at 1.00 × 1015 Ω cm. Based on the same approach, Zhou et al.[ 86 , 87 ] constructed Al@Al2O3@SiO2 core–shell particles in spherical and fiber form (1D). The two kinds of fillers were then uniformly dispersed into a PI matrix at different volume proportions for a total loading of 50 vol%. While the lowest thermal conductivity value was obtained with 100% of spherical Al@Al2O3@SiO2 (≈2 W m−1 K−1), the highest value was obtained with a mix of 25% spherical and 75% Al@Al2O3@SiO2 in fiber form (15.2 W m−1 K−1). Zhou et al.[ 88 ] also prepared double core–shell structured particles composed of Al as the core and two layers of Al2O3 produced by applying different temperatures of calcination under nitrogen atmosphere. This synthesis allows forming an amorphous and a crystalline layer of Al2O3 that are denoted nc‐Al2O3 and c‐Al2O3, respectively. The double core–shell Al@nc‐Al2O3@c‐Al2O3 particles were then introduced in a PVDF matrix. The dielectric and thermal properties of the PVDF‐Al@nc‐Al2O3@c‐Al2O3 nanocomposite were improved due to the enhanced interfacial polarization that is induced by preventing the long‐range migration of electrons within the different interfaces. Li et al.[ 89 ] fabricated Ni@NiO core–shell particles by self‐passivation of the Ni core (1h at 550 °C under air atmosphere). Once added to a PVDF matrix, they obtained a thermal conductivity of 1.08 W m−1 K−1 at 70 wt% (≈32 vol%) loading, while conserving a good electrical insulation with an electrical conductivity lower than 10−9 S cm−1 thanks to the NiO insulating layer. Yao et al.[ 90 ] used Zn@ZnO core–shell particles, produced by calcinating the Zn cores at 400 °C for 3 h under air atmosphere, and polymerized polystyrene (PS) at their surface to make Zn@ZnO@PS nanoparticles. These nanofillers were then added to a PVDF matrix to produce PVDF‐Zn@ZnO@PS nanocomposites. At 40 wt% (≈14 vol%) loading, they obtained a thermal conductivity of 0.54 W m−1 K−1 for an electrical resistivity of 3.00 × 1013 Ω cm.
0D metal@ceramic core–shell fillers can also be made with a shell that is unrelated to its core. Copper (Cu), which possesses the second‐highest thermal conductivity of all metals (behind silver), is often used as a core material, in particular because it is about a hundred times cheaper than silver. Wang et al.[ 33 ] fabricated Cu@Al2O3 core–shell particles through a prior activation of the Cu core with PVP followed by a sol‐gel reaction using Al2(SO4)3‐18H2O as a Al2O3 precursor. The Al2O3 nanolayer is then obtained after a heat treatment at 250 °C for 2 h under air atmosphere. Once added in an epoxy matrix to form an epoxy‐Cu@Al2O3 nanocomposite, the Cu@Al2O3 core–shell nanofillers allowed the nanocomposite to remain electrically insulating with an electrical resistivity measured at 2.30 × 1013 Ω cm for a 10 vol% loading, thanks to its Al2O3 insulating shell. At the same loading ratio, the thermal conductivity of the nanocomposite was measured at 1.32 W m−1 K−1, a value nearly seven times higher than that of the epoxy resin. Wang et al.[ 91 ] fabricated Cu@BaTiO3 core–shell particles in a similar fashion, with a prior Cu activation by PVP followed by a sol‐gel reaction of a BaTiO3 precursor. Upon addition of the Cu@BaTiO3 core–shell fillers in an epoxy matrix, the authors measured a thermal conductivity of 1.09 W m−1 K−1 at 10 vol% loading for a retained electrical insulation with a corresponding electrical resistivity of 7.90 × 1013 Ω cm. Zhou et al.[ 92 ] synthesized core–shell structures by coating Cu particles with a thin oxidation layer of CuO synthesized by calcination under air atmosphere. The Cu@CuO core–shell particles were introduced in a PVDF matrix in order to quantify the dielectric and the thermal properties. Due to the calcination treatment, the CuO shell hindered the long‐distance electron migration and reduced the thermal resistance at the interface. Consequently, the final nanocomposite PVDF‐Cu@CuO exhibited improved dielectric performance and enhanced thermal conductivity. Lee et al.[ 93 ] prepared Cu@BN core–shell particles through thermal annealing of Cu powder coated with melamine diborate at 1000 °C for 3 h to produce a layer of BN. Then polysilazane was finally coated (Cu@BN@PSZ) to improve the filler interaction with the epoxy matrix. At 60 wt% loading, the epoxy‐Cu@BN@PSZ composite exhibited a thermal conductivity of 3.47 W m−1 K−1 and an electrically insulating behavior, with a reported electrical resistivity of 1011 Ω cm. Zhou et al.[ 32 ] synthesized Ag@SiO2 core–shell particles and incorporated them in a PI matrix to form PI‐Ag@SiO2 nanocomposites. At 50 vol% loading, they obtained a thermal conductivity of 7.88 W m−1 K−1 while the SiO2 layer retained the electrical insulation of the nanocomposite (electrical resistivity of 3.40 × 1013 Ω cm).
3.3.2. 1D Fillers
Other authors have focused on nanofillers with high‐aspect‐ratio geometries to limit the overall loading rate, such as 1D metal nanowires. Zhou et al.[ 36 ] synthesized copper nanowires (CuNWs) and coated them with a layer of boron nitride using boric acid and urea in solution, followed by a thermal treatment in a furnace at 900 °C for 3 h under a NH3 atmosphere. The resulting CuNW@BN core–shell nanowires were then incorporated in a PI matrix to form PI‐CuNW@BN nancomposites. At 20 vol% loading, the thermal conductivity was measured at 4.12 W m−1 K−1 while the insulating BN layer improved the electrical resistivity up to 4.80 × 1013 Ω cm. In a similar fashion, the same authors[ 94 ] synthesized silver nanowires (AgNWs) coated with a thin BN layer (≈9 nm thickness) to form AgNW@BN core–shell nanowires. At 20 vol% loading in a PI matrix, they measured a thermal conductivity of 4.30 W m−1 K−1, which is slightly higher than the one measured for CuNW cores. The BN nanolayer enhanced the dispersion of the AgNWs in the PI matrix as well as the interfacial interaction between AgNWs and the PI matrix. The BN nanolayer is also believed to reduce the modulus mismatch between AgNWs and the PI matrix, thereby decreasing the thermal interfacial resistance. This participates in improving the overall thermal conductivity of the nanocomposite. The BN layer allowed the nanocomposite to remain electrically insulating with an electrical resistivity measured at 3.90 × 1013 Ω cm. The dielectric properties of the PI‐AgNW@BN nanocomposites were in line with expectations for heat dissipation in microelectronics applications. Ahn et al.[ 95 ] synthesized CuNW@TiO2 core–shell nanowires with a thin TiO2 shell of ≈3 nm in thickness. Added in an epoxy matrix, the core–shell nanofillers improved the thermal conductivity of the nanocomposite up to 1.12 W m−1 K−1 at 15 wt% (≈2 vol%) loading. This was higher than the values measured for the nanocomposites using pure CuNWs as nanofillers, and the given explanation was related to a decrease of the modulus mismatch between nanofillers and the epoxy matrix thanks to the thin TiO2 nanolayer. The latter also participated in the reduction of the electrical conductivity below 7.0 × 10−8 S cm−1. By comparison, Jiang et al.[ 96 ] fabricated AgNW@TiO2 core–shell nanowires through a sol‐gel process using tetrabutyl‐titanate (TBOT) as a precursor, and retrieved AgNW@TiO2 nanowires with a TiO2 shell of ≈30 nm in thickness. At first, they thought that the TiO2 shell would further improve the thermal conductivity of their epoxy‐AgNW@TiO2 nanocomposite compared to a SiO2 shell because of an intrinsic thermal conductivity in favor of TiO2 (1 vs 10 W m−1 K−1 for SiO2 and TiO2, respectively). However, they observed that the epoxy‐AgNW@TiO2 nanocomposites exhibited lower thermal conductivities than the epoxy‐AgNW ones (0.8 vs 0.9 W m−1 K−1, respectively, at 4 vol% loading, for long nanowires), although the dispersion and interfacial interaction was improved thanks to the TiO2 layer. This was explained by the increase of the modulus mismatch between AgNW and the epoxy matrix caused by the 30‐nm‐thick TiO2 layer. Indeed, the 30‐nm‐thick TiO2 layer used in the study possessed a higher elastic modulus than the 3‐nm‐thick TiO2 layer used in the study of Ahn et al. previously described. The higher elastic modulus mismatch enhanced phonon scattering at the epoxy–AgNW interface, thereby increasing the interfacial thermal resistance, and decreasing the thermal conductivity of the nanocomposite. On another aspect, the TiO2 nanolayer helped to maintain the electrical resistivity of the nanocomposite up to 7.10 × 1012 Ω cm at 4 vol%, what was not achievable with pure AgNWs. The same team (Chen et al.[ 84 ]) also fabricated AgNW@SiO2 core–shell nanowires through a sol‐gel process in ethanol and water using TEOS as a precursor and NH4OH as a basic catalyst. With this preparation method, they retrieved AgNW@SiO2 core–shell nanowires with a uniform SiO2 shell of about 20–25 nm in thickness. When added to an epoxy matrix to form epoxy‐AgNW@SiO2 nanocomposites, the AgNW@SiO2 core–shell nanowires improved the thermal conductivity of the epoxy up to 1.03 W m−1 K−1 at 4 vol% loading, which was significantly higher than the value measured on nanocomposites using pure AgNWs (0.57 W m−1 K−1). The SiO2 nanolayer coated on the AgNWs in AgNW@SiO2 provided strong enhancements on dispersion of the AgNWs in the epoxy matrix and improved the interfacial interaction between AgNWs and the epoxy matrix. This is believed to help improve the creation of performant thermal pathways across the nanocomposite and reduce the phonon scattering at the interface. The SiO2 nanolayer is also believed to act as an intermediate layer to alleviate the modulus mismatch between the soft epoxy matrix and the stiff AgNWs, thereby reducing the interfacial thermal resistance and participating in the improvement of the overall thermal conductivity of the nanocomposite. The SiO2 nanolayer also maintained the electrical insulation of the nanocomposite with electrical resistivity measured at 1.40 × 1014 Ω cm at 4 vol% loading, where the electrical insulation of epoxy‐AgNWs nanocomposites broke before 2 vol% loading. The dielectric properties of the epoxy‐AgNW@SiO2 nanocomposites were also in line with expectations for its use in integrated circuits for the electronic packaging industry. In one of our previous work,[ 82 ] AgNW@SiO2 core–shell nanowires were also synthesized through a similar sol‐gel process with fine tuning of the SiO2 thickness (from 5 to 43 nm) to decipher the influence of the shell thickness on thermal and electrical performances of a polycarbonate (PC) nanocomposite (PC‐AgNW@SiO2). It was found that uniform and conformal SiO2 nanolayers could be grown at the surface of AgNWs and that the thickness could be controlled and tailored through the control of the sol‐gel experimental parameters. As in other studies, it was found that the SiO2 shell improved both the dispersion of the AgNWs in the PC matrix and the interfacial interaction (no more AgNW bundles and no more voids between the AgNWs and the PC matrix). It was also found that an optimum SiO2 layer thickness for an optimum thermal conductivity could be determined and that it lay around 20 nm. For a 3 vol% loading, the PC‐AgNW@SiO2 nanocomposite with a 20‐nm‐thick SiO2 shell exhibited an optimum thermal conductivity of 2.08 W m−1 K−1. For thicker layers, the thermal conductivity of the nanocomposite decreased progressively, as observed in other systems found in the literature.[ 51 , 61 , 76 , 97 ] This reversing trend in thermal conductivity enhancement suggests that the low intrinsic thermal conductivity of SiO2 and the increasing modulus mismatch associated with an increasing layer thickness outweigh the good dispersion and the enhanced filler–matrix cohesion. Concerning electrical resistivity, it was only at thicknesses of 20 nm and above that the SiO2 coating was fully effective with a value measured at 1.13 × 1012 Ω cm for the 20‐nm‐SiO2 thick PC‐AgNW@SiO2 nanocomposite. Dielectric properties were in line with expectations for battery casing and electronics applications. One of the most important advantages of this PC‐AgNW@SiO2 nanocomposite is its 3D printability by fused deposition modeling (FDM). Moreover, its thermal conductivity was significantly increased in the printing direction, up to 3.48 W m−1 K−1 while retaining good electrical insulation. Kim et al.[ 97 ] fabricated CuNW@SiO2 core–shell nanowires by a sol‐gel reaction followed by sintering at 200 °C for 1 h in a N2 atmosphere. Although the CuNW@SiO2 nanowires did not seem to be uniformly coated by an SiO2 layer, they managed to improve the thermal conductivity of an ETDS (epoxy‐terminated dimethylsiloxane) composite up to 1.1 W m−1 K−1 at 15 wt% (≈2 vol%) loading, better than raw CuNWs. It was also observed that with an increase of the SiO2 thickness, the thermal conductivity tended to decrease due to its low intrinsic thermal conductivity and to SiO2 aggregated layers (causing phonon scattering between layers). Nonetheless, the SiO2 shell did maintain the electrical conductivity of the nanocomposite below 10−9 S cm−1. Zhang et al.[ 98 ] prepared AgNW@ZnO core–shell nanowires by the precipitation method using Zn(NO3)2‐6H2O as a precursor. Even though the ZnO coating was quite rough and not really uniform, they managed to slightly increase the thermal conductivity of an epoxy‐AgNW@ZnO nanocomposite up to 0.77 W m−1 K−1 at 8 wt% (≈0.9 vol%) loading, corresponding to a 22% enhancement over the epoxy‐AgNWs nanocomposite. Thanks to the ZnO layer, the electrical resistivity of the epoxy‐AgNW@ZnO nanocomposite remained above 1013 Ω cm over the whole range of tested loading ratios, while the electrical resistivity of the epoxy‐AgNW nanocomposite dropped sooner.
Other authors decided to mix AgNW@SiO2 with other fillers such as GNPs[ 99 ] to take advantage of synergistic hybrid networks. In this study, Yang et al. found that with the addition of 2.7 vol% of GNPs to an epoxy‐AgNW@SiO2 nanocomposite already loaded at 0.8 vol%, the thermal conductivity jumped from 0.44 to 1.09 W m−1 K−1 while the electrical insulation remained satisfying. Zhuang et al.[ 100 ] found that the addition of graphite@SiO2 to a PI‐AgNW@SiO2 nanocomposite was beneficial to the thermal conductivity of the nanocomposite. With loadings of 15 vol% of graphite@SiO2 and 5 vol% of AgNW@SiO2, the thermal conductivity was measured at 3.21 W m−1 K−1 whereas the thermal conductivity of the 20 vol% AgNW@SiO2 loaded nanocomposite was measured at only 0.74 W m−1 K−1. The metal@ceramic core–shell filled nanocomposites along with their thermal conductivities and electrical resistivities are summarized in Table 3 .
Table 3.
Thermal conductivities and electrical resistivities of polymer nanocomposites made with metal@ceramic core–shell nanofillers.
| Polymer matrix | Core–shell filler | Surface activation of the core | Nanocomposite processing route | Loading ratio [wt%‐vol%] | Thermal conductivity of the pure polymer matrix [W m−1 K−1] | Thermal conductivity of the nanocomposite [W m−1 K−1] | Electrical resistivity [Ω cm] | Ref. |
|---|---|---|---|---|---|---|---|---|
| Epoxy | Al@Al2O3 | Self‐passivation | Blending | 60‐37 | 0.22 | 0.92 | 4.50 × 1013 | [85] |
| Epoxy | Al@Al2O3@SiO2 | Self‐passivation + PVP | 40‐n.a. | 0.17 | 0.53 | 1.00 × 1015 | [83] | |
| PI | Al@Al2O3@SiO2 | n.a.‐50 | n.a. | 2.00 | n.a. | [87] | ||
| PVDF | Ni@NiO | Self‐passivation | Solvent | 70‐32 | n.a. | 1.08 | n.a. | [89] |
| PVDF | Zn@ZnO@PS | Self‐passivation + polymerization | 40‐14 | 0.20 | 0.54 | 3.00 × 1013 | [90] | |
| Epoxy | Cu@Al2O3 | PVP | Blending | n.a.‐10 | 0.19 | 1.32 | 2.30 × 1013 | [33] |
| Cu@BaTiO3 | 0.16 | 1.09 | 7.90 × 1013 | [91] | ||||
| Cu@BN@PSZ | Melamine diborate coating + Thermal annealing | 60‐n.a. | 0.20 | 3.47 | 1011 | [93] | ||
| PI | Ag@SiO2 | PVP | n.a.‐50 | n.a. | 7.88 | 3.40 × 1013 | [32] | |
| PI | CuNW@BN | Boric acid + urea | n.a. | n.a.‐20 | 0.18 | 4.12 | 4.80 × 1013 | [36] |
| AgNW@BN | n.a. | 0.19 | 4.33 | 3.90 × 1013 | [94] | |||
| Epoxy | CuNW@TiO2 | Hydrazine in (NaOH + EDA) | Blending | 15‐2 | 0.20 | 1.12 | n.a. | [95] |
| Epoxy | AgNW@TiO2 | Residual PVP | Blending | n.a.‐4 | 0.19 | 0.8 | 7.10 × 1012 | [96] |
| AgNW@SiO2 | 1.03 | 1.40 × 1014 | [84] | |||||
| PC | AgNW@SiO2 | Residual PVP | Solvent | 21.5‐3 | 0.23 | 3.48 | 1.13 × 1012 | [82] |
| Epoxy | CuNW@SiO2 | n.a. | Blending | 15‐2 | 0.19 | 1.10 | n.a. | [97] |
| Epoxy | AgNW@ZnO | n.a. | Solvent | 8‐0.9 | 0.18 | 0.77 | >1013 | [98] |
3.4. Core@Polymer Fillers
Another more specific family of core–shell nanofillers concerns heterostructures with a polymer shell. The most widely used polymer shell is PDA because it has demonstrated outstanding adhesion ability and compatibility toward a variety of substrates including ceramics, carbons, and metals. For instance, Zhang et al.[ 101 ] synthesized hBN@PDA core–shell nanoparticles and incorporated them in a SR matrix to make SR‐hBN@PDA nanocomposites. At 30 wt% loading, they obtained a thermal conductivity of 0.95 W m−1 K−1, higher than the nanocomposite filled with raw hBN. This improvement was explained by the fact that PDA acted as a compatibilizer between hBN and the SR matrix, thus improving the interfacial cohesion between both. The electrical resistivity was maintained and measured at 2.50 × 1011 Ω cm. In a similar fashion, Nan et al.[ 102 ] synthesized a PDA coating at the surface of nanodiamonds (ND) to create ND@PDA core–shell nanoparticles. One incorporated in a PVA matrix, the thermal conductivity of the resulting PVA‐ND@PDA nanocomposite thin film was measured at 5.86 W m−1 K−1 at a 10 wt% loading. It was observed that the interface between the nanodiamonds and the PVA matrix was improved thanks to the PDA layer. The electrical insulation was preserved with an electrical resistivity value measured at 6.10 × 1015 Ω cm. Sang et al.[ 103 ] prepared BNNS@PDA core–shell microspheres functionalized with hexanediol diacrylate (HDDA) by emulsification that were incorporated into a PVDF matrix. At 25 wt% of BNNS loading, the thermal conductivity reached 3.20 W m−1 K−1, which is a significant increase compared to the pure PVDF matrix (0.22 W m−1 K−1). Wang et al.[ 104 ] prepared Si@SiO2@PDA core–shell microspheres by a thermal oxidation of raw Si particles (Si@SiO2), followed by the addition of dopamine‐HCl. At 33.8 vol% loading, the epoxy‐Si@SiO2@PDA composite exhibited a moderate thermal conductivity of 0.891 W m−1 K−1 and an electrically insulating behavior with an electrical resistivity of ≈1018 Ω cm. Kong et al.[ 105 ] successfully synthesized PDA at the surface of spherical graphite (SAG) to form SAG@PDA core–shell particles. When added to a silicon rubber matrix at a 76 vol% loading, the thermal conductivity of the resulting composite was measured at 1.76 W m−1 K−1, unfortunately no electrical resistivity data was provided. Yuan et al.[ 106 ] synthesized CuNW@PDA nanowires with various PDA thicknesses ranging from 25 to 100 nm. One added in an epoxy matrix, it was observed that the nanofiller with the lowest PDA thickness (25 nm) provided the best thermal conductivity to the epoxy‐CuNW@PDA nanocomposite (2.87 W m−1 K−1 at 3 vol% loading). The thicker the PDA layer, the lower the thermal conductivity. Indeed, although the PDA layer improved the interfacial interaction between the epoxy matrix and the CuNW nanofiller (also observed with the mechanical properties), the PDA layer is almost thermally insulating. A thicker PDA layer would thus lead to lower thermal conductivities. Thanks to the PDA layer, the electrical resistivity of the nanocomposite remained high enough, with values measured above 1014 Ω cm. Several core@polymer systems presented hereinbefore are illustrated in Figure 7 .
Figure 7.

Polymer shell can improve significantly the performances of nanocomposites. a) Schematic representation and b) SEM image of polydopamine coated on spherical artificial graphite particles (SAG@PDA).[ 105 ] c) Infrared images of the pure SR (silicone rubber matrix), SAG/SR and advanced SAG@SR core–shell composites during heating. Reproduced with permission.[ 105 ] Copyright 2023, Elsevier. d) Surface modification scheme of nanodiamonds particles via dopamine.[ 102 ] e) Thermal conductivity of ND/PVA and ND@PDA/PVA nanocomposites with different filler loadings.[ 102 ] f) Infrared thermal images of surface temperature variations as a function of heating time.[ 102 ] (d–f) Reproduced with permission.[ 102 ] Copyright 2020, Elsevier.
3.5. Most Targeted Industrial Applications
The development of such polymer nanocomposites filled with core–shell fillers aims to cover several industrial fields. The most frequently cited applications are related to microelectronics and electronic packaging,[ 31 , 51 , 57 , 61 , 70 , 84 , 86 , 94 , 95 , 101 , 102 ] and often linked with the miniaturization‐driven industry of electronics and microelectronics.[ 50 , 54 , 58 , 62 , 67 , 71 , 72 , 76 , 77 , 80 , 81 , 82 , 91 , 96 , 99 , 105 ] For instance, Thermal interface materials (TIMs) are often cited as targeted applications for the microelectronics industry.[ 33 , 35 , 65 , 78 , 85 , 97 , 98 , 106 ] Mao et al.[ 85 ] tested their thermally dissipative composite materials on an actual MOSFET device as presented in Figure 8a. Other publications target electrical and power systems[ 52 , 53 , 55 , 90 ] such as LED,[ 60 , 61 , 83 ] energy storage systems,[ 61 , 82 , 89 ] or communication equipment.[ 34 , 100 ] For instance, Xu et al.[ 83 ] tested their core–shell Al@Al2O3@SiO2 filled epoxy composite on an actual LED device and observed the improvement of thermal dissipation through thermal images showing a better cooling of the LED device using their epoxy‐Al@Al2O3@SiO2 composite as a heat sink (Figure 8b,c).
Figure 8.

a) Evolution of the temperature of a MOSFET device with and without a TIM made of an Al@Al2O3‐epoxy composite versus time operating. Reproduced with permission.[ 85 ] Copyright 2019, Elsevier. b) Structure diagram of the LED chip used.[ 83 ] c) Evolution of the temperature of the LED chip versus time operating.[ 83 ]
4. Conclusions and Perspectives
Polymer composites are widely used, yet their performance remains too limited for certain heat dissipation applications, notably in electronics and electrochemical storage systems such as batteries. The intrinsic low thermal conductivity of polymers can be compensated for by dispersing fillers within the matrix. A large number of fillers have already been studied, but in the specific case where high thermal conductivity has to be combined with low electrical conductivity, very few solutions are proving relevant to date. A novel class of fillers has been developed by combining a thermally conductive core with a conformal shell that circumscribes the electrical conduction of the core while optimizing the interface between the filler and the matrix. The core–shell particles can be composed of a vast array of chemical natures, including ceramic, carbon, metal, or polymer. Preferentially, the core is made of metal, carbon, or ceramic, while the shell is made of ceramic or polymer. The chemical nature of the shell plays a pivotal role in thermal conduction by limiting interfacial thermal resistance. Its surface chemistry is as well of critical significance in ensuring optimal cohesion with the matrix. Furthermore, the various examples discussed in this review demonstrate that key parameters, such as shell thickness, nanoparticle form factor, or filler loading, have a significant impact on final performance.
In conclusion, this technology enables the fabrication of core–shell particle based composites with markedly superior properties, typically exhibiting thermal conductivities on the order of several W m−1 K−1 while maintaining their electrical insulation. This promising approach is highly scalable, given the wide range of materials that can be considered, and should pave the way for a multitude of new fillers for the fabrication of high‐performance heat dissipative polymer composites.
Conflict of Interest
The authors declare no conflict of interest.
Author Contributions
A.B. and A.C. conducted literature research and drafted the manuscript. T.P. and A.C. contributed to manuscript revision. J.P.S. drafted the final version of the manuscript. All authors discussed and approved the submission of the manuscript.
Acknowledgements
This work was supported by the Agence de l'Innovation de Defense (AID, France) through a Ph.D. grant to Antoine Bodin.
Biographies
Antoine Bodin, Ph.D., is a research engineer in the Laboratory for Innovation in Technology for Energy and Nanomaterials, based at the French Alternative Energies and Atomic Energy Commission (CEA‐LITEN, France). He received his Ph.D. degree in materials science and engineering from the Grenoble‐Alpes University (France) in 2023. His current research focuses on the development of 3D‐printed thermally conductive and electrically insulating polymer (nano)composites for various industrial applications.

Anne Coloigner, obtained her Ph.D. degree in materials science from the institution “Institut National des Sciences Appliquées de Lyon” (INSA, France) in 2023. Her research focused on the thermodynamic mechanisms of epoxy‐thermoplastic blends during the reticulation reaction. She is currently a post‐doctorate at CEA‐LITEN (France). Her current research focuses on the synthesis of thermally conductive and electrically insulating polymer (nano)composites.

Thomas Pietri is a research engineer at CEA‐LITEN, which he joined in 2007. Since 2019 his main research activities focus on the development of advanced materials for the thermal management of systems, the substitution of petroleum‐based polymers, and the recovery of second‐life materials. He is co‐author of 12 patent applications and 3 publications. He is involved in numerous collaborative and bilateral projects with industrial companies in the energy field.

Jean‐Pierre Simonato, after obtaining his Ph.D. in 1999, spent seven years in industry before joining CEA in 2005. He obtained his Habilitation in 2006. He was appointed head of the Nanomaterials Synthesis and Integration Laboratory (2014–2018), and spent a year as Visiting Scientist at Duke University (USA) in 2020. He is currently working as the scientific directorate of CEA‐Liten where he was appointed Senior Fellow in 2023. His current research activities are mostly related to nanomaterials synthesis, nanocomposites, gas sensors, and 3D printing. He has co‐authored over 100 patent applications and 100 publications.

Bodin A., Coloigner A., Pietri T., Simonato J.‐P., The Core–Shell Approach for Thermally Conductive and Electrically Insulating Polymer Nanocomposites: A Review. Macromol. Rapid Commun. 2025, 46, 2500078. 10.1002/marc.202500078
Contributor Information
Antoine Bodin, Email: antoinebodin@live.fr.
Jean‐Pierre Simonato, Email: jean-pierre.simonato@cea.fr.
References
- 1. McKerracher R. D., Guzman‐Guemez J., Wills R. G. A., Sharkh S. M., Kramer D., Adv. Energy Sustainability Res. 2021, 2, 2000059. [Google Scholar]
- 2. Moore A. L., Shi L., Mater. Today 2014, 17, 163. [Google Scholar]
- 3. Zhao C., Li Y., Liu Y., Xie H., Yu W., Adv. Compos. Hybrid Mater. 2022, 6, 27. [Google Scholar]
- 4. Saw L. H., Ye Y., Tay A. A. O., Appl. Therm. Eng. 2014, 73, 154. [Google Scholar]
- 5. Zhang L., Deng H., Fu Q., Compos. Commun. 2018, 8, 74. [Google Scholar]
- 6. Xu X., Chen J., Zhou J., Li B., Adv. Mater. 2018, 30, 1705544. [DOI] [PubMed] [Google Scholar]
- 7. Chen Q., Yang K., Feng Y., Liang L., Chi M., Zhang Z., Chen X., Composites, Part A 2024, 178, 107998. [Google Scholar]
- 8. Wang Z., Zhi C., in Polymer Nanocomposites: Electrical and Thermal Properties (Eds: Huang X., Zhi C.), Springer International Publishing, Cham: 2016, pp. 281–321. [Google Scholar]
- 9. Sun Lee W., Yu J., Diamond Relat. Mater. 2005, 14, 1647. [Google Scholar]
- 10. Fu J.‐F., Shi L.‐Y., Zhong Q.‐D., Chen Y., Chen L.‐Y., Polym. Adv. Technol. 2011, 22, 1032. [Google Scholar]
- 11. Özmıhçı F. Ö., Balköse D., J. Appl. Polym. Sci. 2013, 130, 2734. [Google Scholar]
- 12. Huang X., Iizuka T., Jiang P., Ohki Y., Tanaka T., J. Phys. Chem. C 2012, 116, 13629. [Google Scholar]
- 13. He H., Fu R., Shen Y., Han Y., Song X., Compos. Sci. Technol. 2007, 67, 2493. [Google Scholar]
- 14. Zhou W., Yu D., Min C., Fu Y., Guo X., J. Appl. Polym. Sci. 2009, 112, 1695. [Google Scholar]
- 15. Sharma V., Kagdada H. L., Jha P. K., Śpiewak P., Kurzydłowski K. J., Renewable Sustainable Energy Rev. 2020, 120, 109622. [Google Scholar]
- 16. Wu M., Zhou Y., Zhang H., Liao W., Adv. Mater. Interfaces 2022, 9, 2200610. [Google Scholar]
- 17. Bodin A., Pietri T., Simonato J.‐P., Nanotechnology 2023, 34, 125601. [DOI] [PubMed] [Google Scholar]
- 18. Zhi C., Bando Y., Terao T., Tang C., Kuwahara H., Golberg D., Adv. Funct. Mater. 2009, 19, 1857. [DOI] [PubMed] [Google Scholar]
- 19. Guo Y., Ruan K., Shi X., Yang X., Gu J., Compos. Sci. Technol. 2020, 193, 108134. [Google Scholar]
- 20. Chen H., Ginzburg V. V., Yang J., Yang Y., Liu W., Huang Y., Du L., Chen B., Prog. Polym. Sci. 2016, 59, 41. [Google Scholar]
- 21. Mehra N., Mu L., Ji T., Yang X., Kong J., Gu J., Zhu J., Appl. Mater. Today 2018, 12, 92. [Google Scholar]
- 22. Han Z., Fina A., Prog. Polym. Sci. 2011, 36, 914. [Google Scholar]
- 23. Mokhena T. C., Mochane M. J., Sefadi J. S., Motloung S. V., Andala D. M., Mokhena T. C., Mochane M. J., Sefadi J. S., Motloung S. V., Andala D. M., in Impact of Thermal Conductivity on Energy Technologies, IntechOpen, Rijeka, Croatia: 2018. [Google Scholar]
- 24. Jang J., So S. O., Kim J. H., Kim S. Y., Kim S. H., Compos. Commun. 2022, 31, 101110. [Google Scholar]
- 25. Pan X., Debije M. G., Schenning A. P. H. J., Bastiaansen C. W. M., ACS Appl. Mater. Interfaces 2021, 13, 28864. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26. Uetani K., Ata S., Tomonoh S., Yamada T., Yumura M., Hata K., Adv. Mater. 2014, 26, 5857. [DOI] [PubMed] [Google Scholar]
- 27. Kwon S. Y., Kwon I. M., Kim Y.‐G., Lee S., Seo Y.‐S., Carbon 2013, 55, 285. [Google Scholar]
- 28. Balachander N., Seshadri I., Mehta R. J., Schadler L. S., Borca‐Tasciuc T., Keblinski P., Ramanath G., Appl. Phys. Lett. 2013, 102, 093117. [Google Scholar]
- 29. Rai A., Moore A. L., Compos. Sci. Technol. 2017, 144, 70. [Google Scholar]
- 30. Rivière L., Lonjon A., Dantras E., Lacabanne C., Olivier P., Gleizes N. R., Eur. Polym. J. 2016, 85, 115. [Google Scholar]
- 31. Cui W., Du F., Zhao J., Zhang W., Yang Y., Xie X., Mai Y.‐W., Carbon 2011, 49, 495. [Google Scholar]
- 32. Zhou Y., Wang L., Zhang H., Bai Y., Niu Y., Wang H., Appl. Phys. Lett. 2012, 101, 012903. [Google Scholar]
- 33. Wang Z., Zhang Y., Yi J., Cai N., Guo J., J. Alloys Compd. 2022, 928, 167123. [Google Scholar]
- 34. Liu X., Wang Z., Sun J., Zhao Z., Zhan S., Guo Y., Zhou H., Liu W., Wang J., Zhao T., Compos. Sci. Technol. 2021, 202, 108558. [Google Scholar]
- 35. Kong N., Tian Y., Huang M., Ye C., Yan Y., Peng C., Liu J., Han F., J. Alloys Compd. 2023, 968, 172039. [Google Scholar]
- 36. Zhou Y., Liu F., Chen C.‐Y., Adv. Compos. Hybrid Mater. 2019, 2, 46. [Google Scholar]
- 37. Huang C., Qian X., Yang R., Mater. Sci. Eng., R 2018, 132, 1. [Google Scholar]
- 38. Pak S. Y., Kim H. M., Kim S. Y., Youn J. R., Carbon 2012, 50, 4830. [Google Scholar]
- 39. Teng C.‐C., Ma C.‐C. M., Chiou K.‐C., Lee T.‐M., Composites, Part B 2012, 43, 265. [Google Scholar]
- 40. Yang G., Zhang X., Pan D., Zhang W., Shang Y., Su F., Ji Y., Liu C., Shen C., ACS Appl. Mater. Interfaces 2021, 13, 32286. [DOI] [PubMed] [Google Scholar]
- 41. Burger N., Laachachi A., Ferriol M., Lutz M., Toniazzo V., Ruch D., Prog. Polym. Sci. 2016, 61, 1. [Google Scholar]
- 42. Pietri T., Wiley B. J., Simonato J.‐P., ACS Appl. Nano Mater. 2021, 4, 4774. [Google Scholar]
- 43. He X., Ou D., Wu S., Luo Y., Ma Y., Sun J., Adv. Compos. Hybrid Mater. 2022, 5, 21. [Google Scholar]
- 44. Kapitza P. L., Phys. Rev. 1941, 60, 354. [Google Scholar]
- 45. Yao Y., Zeng X., Guo K., Sun R., Xu J., Composites, Part A 2015, 69, 49. [Google Scholar]
- 46. Song Y. S., Youn J. R., Carbon 2005, 43, 1378. [Google Scholar]
- 47. Sun S., Fan K., Yang J., Liu J., Li X., Zhao L., He X., Liu X., Jia S., Li Q., Mater. Today 2024, 80, 758. [Google Scholar]
- 48. Banerjee S., Saini S., Prasad D S., IET Nanodielectrics 2021, 4, 210. [Google Scholar]
- 49. Lokanathan M., Acharya P. V., Ouroua A., Strank S. M., Hebner R. E., Bahadur V., Proc. IEEE 2021, 109, 1364. [Google Scholar]
- 50. Zhao L., Chen Z., Ren J., Yang L., Li Y., Wang Z., Ning W., Jia S., J. Colloid Interface Sci. 2022, 627, 205. [DOI] [PubMed] [Google Scholar]
- 51. Liang Y., Liu B., Zhang B., Liu Z., Liu W., Int. J. Heat Mass Transfer 2021, 164, 120533. [Google Scholar]
- 52. Cao D., Zhou W., Yuan M., Li B., Li T., Li J., Liu D., Wang G., Zhou J., Zhang H., J. Mater. Sci.: Mater. Electron. 2022, 33, 5174. [Google Scholar]
- 53. Zhou J., Zhou W., Li B., Cao D., Lin N., Shang B., Wang F., Feng A., Hou C., J. Polym. Res. 2022, 29, 234. [Google Scholar]
- 54. Hwang Y., Kim M., Kim J., RSC Adv. 2014, 4, 17015. [Google Scholar]
- 55. Rybak A., Gaska K., J. Mater. Sci. 2015, 50, 7779. [Google Scholar]
- 56. Cao D., Zhou W., Zhang M., Cao G., Yang Y., Wang G., Liu D., Chen F., Ind. Eng. Chem. Res. 2022, 61, 8043. [Google Scholar]
- 57. Yan H., Dai X., Ruan K., Zhang S., Shi X., Guo Y., Cai H., Gu J., Adv. Compos. Hybrid Mater. 2021, 4, 36. [Google Scholar]
- 58. Tang Y., Xiao C., Ding J., Hu K., Zheng K., Tian X., Colloid Polym. Sci. 2020, 298, 385. [Google Scholar]
- 59. Awais M., Chen X., Hong Z., Wang Q., Shi Y., Meng F.‐B., Dai C., Paramane A., Compos. Sci. Technol. 2022, 227, 109576. [Google Scholar]
- 60. Noma Y., Saga Y., Une N., Carbon 2014, 78, 204. [Google Scholar]
- 61. Choi S., Kim K., Nam J., Shim S. E., Carbon 2013, 60, 254. [Google Scholar]
- 62. Hu B., Guo H., Wang Q., Zhang W., Song S., Li X., Li Y., Li B., Composites, Part A 2020, 137, 106038. [Google Scholar]
- 63. Wang Y., Qiu X., Zheng J., Compos. Sci. Technol. 2018, 167, 529. [Google Scholar]
- 64. Wu Z., Gao S., Chen L., Jiang D., Shao Q., Zhang B., Zhai Z., Wang C., Zhao M., Ma Y., Zhang X., Weng L., Zhang M., Guo Z., Macromol. Chem. Phys. 2017, 218, 1700357. [Google Scholar]
- 65. Zhao J., Du F., Cui W., Zhu P., Zhou X., Xie X., Composites, Part A 2014, 58, 1. [Google Scholar]
- 66. Wu Z., Gao S., Wang X., Ibrahim M. M., Mersal G. A. M., Ren J., El‐Bahy Z. M., Guo N., Gao J., Weng L., Guo Z., J. Mater. Sci.: Mater. Electron. 2024, 35, 1032. [Google Scholar]
- 67. Yu W., Fu J., Chen L., Zong P., Yin J., Shang D., Lu Q., Chen H., Shi L., Compos. Sci. Technol. 2016, 125, 90. [Google Scholar]
- 68. Gulotty R., Castellino M., Jagdale P., Tagliaferro A., Balandin A. A., ACS Nano 2013, 7, 5114. [DOI] [PubMed] [Google Scholar]
- 69. Wang Z.‐Y., Sun X., Wang Y., Liu J.‐D., Zhang C., Zhao Z.‐B., Du X.‐Y., Polymer 2022, 262, 125430. [Google Scholar]
- 70. Yan W., Zhang Y., Sun H., Liu S., Chi Z., Chen X., Xu J., J. Mater. Chem. A 2014, 2, 20958. [Google Scholar]
- 71. Du F.‐P., Tang H., Huang D.‐Y., Int. J. Polym. Sci. 2013, 2013, e541823. [Google Scholar]
- 72. Zhang Z., Liao M., Li M., Li L., Wei X., Kong X., Xiong S., Xia J., Fu L., Cai T., Pan Z., Li H., Han F., Lin C.‐T., Nishimura K., Jiang N., Yu J., Compos. Commun. 2022, 33, 101209. [Google Scholar]
- 73. Huang M., Wang Z., Kong N., Li B., Ye C., Jia K., Fu L., Tian Y., Wang D., Han F., Chem. Eng. J. 2024, 490, 151621. [Google Scholar]
- 74. Choi S., Kim Y., Yun J. H., Kim I., Shim S. E., Mater. Lett. 2013, 90, 87. [Google Scholar]
- 75. Kim Y., Qian Y., Kim M., Ju J., Baeck S.‐H., Shim S. E., RSC Adv. 2017, 7, 24242. [Google Scholar]
- 76. Kim Y., Kim M., Seong H.‐G., Jung J. Y., Baeck S.‐H., Shim S. E., Polymer 2018, 148, 295. [Google Scholar]
- 77. Pu X., Zhang H.‐B., Li X., Gui C., Yu Z.‐Z., RSC Adv. 2014, 4, 15297. [Google Scholar]
- 78. Shen C., Wang H., Zhang T., Zeng Y., J. Mater. Sci. Technol. 2019, 35, 36. [Google Scholar]
- 79. Wang Z.‐Y., Sun X., Wang Y., Liu J.‐D., Zhang C., Zhao Z.‐B., Du X.‐Y., Ceram. Int. 2023,49, 2871. [Google Scholar]
- 80. Qian R., Yu J., Wu C., Zhai X., Jiang P., RSC Adv. 2013, 3, 17373. [Google Scholar]
- 81. Sun R., Yao H., Zhang H.‐B., Li Y., Mai Y.‐W., Yu Z.‐Z., Compos. Sci. Technol. 2016, 137, 16. [Google Scholar]
- 82. Bodin A., Pietri T., Celle C., Simonato J.‐P., Mater. Chem. Front. 2024, 8, 3949. [Google Scholar]
- 83. Xu X., Niu Y., Yao B., Dong J., Hu R., Wang H., Appl. Phys. Lett. 2020, 117, 142906. [Google Scholar]
- 84. Chen C., Tang Y., Ye Y. S., Xue Z., Xue Y., Xie X., Mai Y.‐W., Compos. Sci. Technol. 2014, 105, 80. [Google Scholar]
- 85. Mao D., Chen J., Ren L., Zhang K., Yuen M. M. F., Zeng X., Sun R., Xu J.‐B., Wong C.‐P., Composites, Part A 2019, 123, 260. [Google Scholar]
- 86. Zhou Y., Wang H., Appl. Phys. Lett. 2013, 102, 132901. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 87. Zhou Y., Bai Y., Yu K., Kang Y., Wang H., Appl. Phys. Lett. 2013, 102, 252903. [Google Scholar]
- 88. Zhou W., Kou Y., Yuan M., Li B., Cai H., Li Z., Chen F., Liu X., Wang G., Chen Q., Dang Z.‐M., Compos. Sci. Technol. 2019, 181, 107686. [Google Scholar]
- 89. Li T., Zhou W., Li Y., Cao D., Wu H., Liu D., Wang Y., Cao G., Dang Z.‐M., J. Mater. Sci.: Mater. Electron. 2021, 32, 14764. [Google Scholar]
- 90. Yao T., Zhou W., Peng W., Zhou J., Li T., Wu H., Zheng J., Lin N., Liu D., Hou C., J. Appl. Polym. Sci. 2022, 139, e53069. [Google Scholar]
- 91. Wang Z., Hou D., Yi J., Cai N., Guo J., Mater. Lett. 2021, 305, 130840. [Google Scholar]
- 92. Zhou W., Zhang F., Yuan M., Li B., Peng J., Lv Y., Cai H., Liu X., Chen Q., Dang Z.‐M., J. Mater. Sci.: Mater. Electron. 2019, 30, 18350. [Google Scholar]
- 93. Lee W., Park S. D., Kim J., Park D., Whang D., Kim J., J. Alloys Compd. 2024, 1003, 175691. [Google Scholar]
- 94. Zhou Y., Liu F., Appl. Phys. Lett. 2016, 109, 082901. [Google Scholar]
- 95. Ahn K., Kim K., Kim J., Polymer 2015, 76, 313. [Google Scholar]
- 96. Jiang Y., Li M., Chen C., Xue Z., Xie X., Zhou X., Mai Y.‐W., Compos. Sci. Technol. 2018, 165, 206. [Google Scholar]
- 97. Kim K., Ahn K., Ju H., Kim J., Ind. Eng. Chem. Res. 2016, 55, 2713. [Google Scholar]
- 98. Zhang L., Zhu W., Qi G., Li H., Qi D., Qi S., Polymers 2022, 14, 3539. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 99. Yang M., Wang X., Wang R., Qi S., J. Mater. Sci.: Mater. Electron. 2017, 28, 16141. [Google Scholar]
- 100. Zhuang X., Zhou Y., Liu F., Mater. Res. Express 2017, 4, 015018. [Google Scholar]
- 101. Zhang X., Yi J., Yin Y., Song Y., Xiong C., Diamond Relat. Mater. 2021, 117, 108485. [Google Scholar]
- 102. Nan B., Wu K., Chen W., Liu Y., Zhang Q., Lu M., Appl. Surf. Sci. 2020, 508, 144797. [Google Scholar]
- 103. Sang X., Ban L., Shi X., Zhao Y., Yang B., Chen C., Zheng K., Zhou H., Zhao T., Langmuir 2024, 40, 10107. [DOI] [PubMed] [Google Scholar]
- 104. Wang Z., Cheng Y., Yang M., Huang J., Cao D., Chen S., Xie Q., Lou W., Wu H., Composites, Part B 2018, 140, 83. [Google Scholar]
- 105. Kong N., Tian Y., Huang M., Liao G., Yan D., Fu L., Wen B., Ye C., Liu J., Jia K., Tan R., Han F., Diamond Relat. Mater. 2023, 132, 109614. [Google Scholar]
- 106. Yuan H., Wang Y., Li T., Ma P., Zhang S., Du M., Chen M., Dong W., Ming W., Compos. Sci. Technol. 2018, 164, 153. [Google Scholar]
