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Science Advances logoLink to Science Advances
. 2024 Mar 29;10(13):eadm8825. doi: 10.1126/sciadv.adm8825

MoS2 phononic crystals for advanced thermal management

Peng Xiao 1,2,†,*, Alexandros El Sachat 1,3,†,*, Emigdio Chávez Angel 1, Ryan C Ng 1, Giorgos Nikoulis 4, Joseph Kioseoglou 4,5, Konstantinos Termentzidis 6, Clivia M Sotomayor Torres 1,7,, Marianna Sledzinska 1,*
PMCID: PMC10980264  PMID: 38552010

Abstract

Effective thermal management of electronic devices encounters substantial challenges owing to the notable power densities involved. Here, we propose layered MoS2 phononic crystals (PnCs) that can effectively reduce thermal conductivity (κ) with relatively small disruption of electrical conductivity (σ), offering a potential thermal management solution for nanoelectronics. These layered PnCs exhibit remarkable efficiency in reducing κ, surpassing that of Si and SiC PnCs with similar periodicity by ~100-fold. Specifically, in suspended MoS2 PnCs, we measure an exceptionally low κ down to 0.1 watts per meter kelvin, below the amorphous limit while preserving the crystalline structure. These findings are supported by molecular dynamics simulations that account for the film thickness, porosity, and temperature. We demonstrate the approach efficiency by fabricating suspended heat-routing structures that effectively confine and guide heat flow in prespecified directions. This study underpins the immense potential of layered materials as directional heat spreaders, thermal insulators, and active components for thermoelectric devices.


2D phononic crystals enable efficient heat management in nanoelectronics.

INTRODUCTION

The development of three-dimensional (3D) integrated circuits (ICs) has brought notable challenges in power and thermal management due to their higher power density compared to traditional 2D chips (1). Effectively managing the excess heat generated by these devices is of paramount importance. Consequently, recent research efforts have been devoted to control and manipulate heat transport at the nanoscale (27). In particular, effective temperature regulation of hotspots in high-speed circuits is essential as these localized regions affect device performance and reliability, ultimately determining thermal design considerations. A potential avenue to advance current thermal engineering solutions lies in the integration of 2D materials within 3D ICs. These materials exhibit strong anisotropic thermal conductivity. For instance, layered crystalline MoS2, one of the most extensively investigated transition metal dichalcogenides (TMDs), exhibits a factor of 10 anisotropy ratio between in-plane and cross-plane thermal conductivity (814). This anisotropic behavior indicates that MoS2 can expeditiously dissipate heat in the in-plane direction without adversely affecting other vertically aligned chips in its proximity. By contrast, conventional 3D isotropic heat spreaders such as copper plates cannot achieve a similar type of directional heat dissipation. Moreover, other 2D materials, such as hBN and graphene, which have an intrinsically high κ (15), exhibit similar heat guiding functionalities but cannot be used as active materials in electronic devices.

In this context, with the ability to direct heat along a precisely defined path through a combination of blocking and subsequent guiding of heat, one can envisage air-stable, 2D layered materials for heat-routing structures in 3D ICs (16, 17). This would enable the dissipation of heat away from hotspots, mitigating any potential damage to subjacent structures. Since 2D materials have the inherent advantage of limited heat transfer in the cross-plane direction due to the weak van der Waals interactions between individual layers, modification of the κ could allow effective in-plane heat flow control. Moreover, TMDs have attracted notable attention as promising thermoelectric materials (18, 19) capable of harvesting electrical energy from temperature gradients. The additional patterning of 2D semiconductors could enable in-plane heat guiding and increased heat dissipation.

In general, the reduction of κ in 2D materials can be achieved by introducing defects or grain boundaries (20, 21). Other approaches, such as nanopatterning by electron beam lithography or focused ion beam (FIB) can also be used to produce 2D PnC structures, where the periodic patterning of holes results in a reduction of κ due to increased phonon boundary scattering (2225). Nanostructuring techniques also have shown promising results in 3D materials such as silicon by reducing the acoustic phonon mean free path (MFP) (26, 27). Nevertheless, there is a lack of similar studies on thermal transport engineering, particularly in 2D semiconductor materials. In the case of MoS2, theoretical investigations suggest that the phonon MFP spans a range from 5 to 20 nm (8, 11, 28). However, a recent theoretical study indicates that nanostructures with a periodicity of about 400 nm can yield a substantial reduction in the κ of monolayer MoS2 (29).

In this work, we first demonstrate the efficient reduction of κ in freestanding MoS2 membranes using FIB nanopatterning. The functionality and underlying mechanisms of heat transfer in these structures are supported by thermal transport experiments and equilibrium molecular dynamics (EMD) simulations in both few-layer pristine and nanopatterned MoS2 consisting of periodically arranged holes of varying periods (100 to 500 nm). Specifically, the κ of all the MoS2 membranes in this study were determined by two-laser Raman thermometry (2LRT) and one-laser Raman thermometry (1LRT). The effect of sample thickness and temperature on the κ of MoS2 and MoS2 PnCs were calculated by EMD simulations based on the autocorrelation function of the heat flux. The findings reveal that periodic arrays of holes, even with periods larger than the average phonon MFP, substantially reduce the κ with relatively small disruption of the σ. Furthermore, this study reports the first realization of heat routing structures nanopatterned in layered 2D materials including a thermal insulating ring, which confines heat in a delimited area, and a heat guiding channel, which confines heat and conducts it away from a hotspot in the in-plane direction. This straightforward approach, which can direct the heat flow through arbitrary paths, is a promising thermal management strategy for various applications such as 3D ICs and potentially for thermoelectric generators and other nanoelectronics.

RESULTS AND DISCUSSION

The MoS2 samples were prepared using mechanical exfoliation and subsequent dry transfer techniques. Schematics of the side and top views of the crystalline MoS2 with PnCs structure are shown in Fig. 1A. The morphological and structural characterization of the samples was performed using optical microscopy, Raman scattering spectroscopy, high-resolution scanning transmission electron microscopy (TEM), and atomic force microscopy (AFM). A representative optical image of the 4.5-nm-thick MoS2 membrane is shown in Fig. 1B. The crystalline nature of MoS2 was confirmed through Raman spectroscopy as shown in Fig. 1C, in agreement with previous reports (30). The thickness of the samples was obtained from tapping mode AFM measurements (details in fig. S1).

Fig. 1. Characterization of freestanding MoS2 phononic crystals.

Fig. 1.

(A) Side and top schematic of the MoS2 crystal structure, in which Mo atoms (blue spheres) are sandwiched between sulfur atoms (light blue spheres). The left and right sides of the membrane were placed on a Au (95 nm)/Ti (5 nm)/Si TEM substrate with holes. (B) Optical image of a 4.5-nm-thick MoS2 membrane. (C) Raman scattering spectrum of the MoS2 membrane obtained with a 532-nm laser. (D) TEM image of the 4.5-nm-thick MoS2 PnC membrane was nanopatterned by FIB with a hole period of 500 nm. (E) A high-resolution TEM image of the hole edge of the region corresponding to the green square in (D). (F) A high-resolution TEM image of the crystalline neck of the region corresponding to the blue square in (D) and the corresponding electron diffraction pattern. a.u., arbitrary units.

After conducting κ measurements on the pristine MoS2 membranes, PnCs were fabricated within these membranes with periods ranging from 100 to 500 nm. Using the Ga + ion FIB, a prevalent tool with high process efficiency in nanofabrication facilities, nanopatterning was performed in this study. The dimensions of the FIB-fabricated PnCs were characterized using TEM and scanning electron microscopy (see Fig. 1D and fig. S2). The 30-kV Ga+ ion beam can be approximated as a Gaussian shape. The ion exposure can cause partial damage to the non-milled material, resulting in increased surface roughness and an introduction of defects in the crystalline structure that could affect the properties of the MoS2 (24). To minimize the damage, a low gallium ion current of 2 pA was used. Even so, an amorphous region with a width of approximately 10 to 30 nm resulting from local FIB damage surrounding each hole in the TEM image was observed (Fig. 1E). The remaining area between holes maintained its crystalline structure, as confirmed by TEM and electron diffraction examination (Fig. 1F and fig. S3). The amorphous dimensions of other samples were obtained from TEM images (fig. S4). As expected, for the same exposure time, the hole diameter decreased with increasing MoS2 thickness, while the width of the amorphous region slightly increased with increasing thickness (fig. S5). Furthermore, the gallium atom trace acquired through TEM energy dispersive spectroscopy revealed the restricted influence of gallium doping on MoS2, as illustrated in fig. S6. The 2LRT and 1LRT setups (20, 3133) were used to determine the κ of these samples, and both were done to achieve an accurate measurement by two separate and independent methods. The 2LRT configuration is illustrated in Fig. 2A. A heating laser (405 nm) shone onto to the sample from below generates a temperature gradient that induces shifts in the frequencies of the Raman active modes of MoS2, namely, E2g and A1g. The Raman spectra were measured by a low-power probe laser (532 nm) focused on the top of the samples, which coupled the scattered light to the Raman spectrometer. All shifts in Raman peak positions were then converted to temperature changes using pre-established calibration curves (fig. S7 and table S1). Because of the system symmetry, a Raman spectra line scan can be collected in 2LRT when the probe laser linearly scans the freestanding membrane across its diameter (Fig. 2, B to D) (20, 27, 34). In 1LRT configuration, with increasing laser intensity of the 532-nm laser, which was focused on the center of the MoS2 membrane, the relation between temperature and absorbed laser power was measured and matched to the COMSOL simulation to extract the value of κ. In contrast, in 2LRT experiments, the temperature distribution on the freestanding membranes was determined using 2D thermal maps. However, these cannot be used for the MoS2 PnCs with periods <200 nm due to the effect of holes on the Raman signals. Specifically, with the reduction in the period of PnCs, there is a noticeable shift in the Raman peak position and a substantial decrease in the intensity of the Raman spectra (fig. S7). The spectra show a very weak signal-to-noise ratio when the MoS2 PnCs period falls below around 200 nm. Therefore, using 1LRT experiments for all the samples, the κ was obtained from the COMSOL model. Details on the experimental methodology and κ calculations are described in Materials and Methods.

Fig. 2. Thermal characterization of patterned freestanding MoS2 membranes.

Fig. 2.

(A) Schematic of a thermal conductivity measurement of a MoS2 PnC membrane by the 2LRT setup, in which a heating laser (405 nm) was focused onto the membrane center and a probe laser (532 nm) used to scan straight through the center point. (B) Temperature profile over the sample extracted using the 2LRT line scan measurement and (C) the corresponding left and right sides from the center temperature profiles as a function of ln (r). The solid lines show the linear fits of the experimental points. (D) The Raman shift versus absorbed power measured in 1LRT experiments. The results were matched to the COMSOL simulated data (red line).

Thermal transport in freestanding layered membranes is dominated by the in-plane κ, which can be calculated using Fourier’s law: P/(2πrt) = −κdT/dr, where P is the power absorbed by the membrane, r is the distance from center, and t is the membrane thickness (27, 31). By taking rdT/dr = dT/d(lnr) the following expression for κ was obtained: κ=P/2πtdTd(lnr) . Figure 2B shows the heating scan curve measured by 2LRT, which demonstrates a symmetric temperature decay from the center of the sample toward the heat sink (membrane edge), where it reaches room temperature. The profiles are well fitted with a constant κ, as depicted in Fig. 2C, where the slope of the fitting lines corresponds to dT/d(lnr). We note that the background scan curves exhibit changes in the A1g peak frequency before and after nanopatterning (fig. S8), which can be attributed to size effects (35). Figure 2D shows the 1LRT measurement results, which were compared to the simulated data from the COMSOL model (fig. S8F) to obtain a final value of κ. To extract the intrinsic κ of the MoS2 PnCs, the experimental value was corrected using a volume correction factor ε, which takes into account the volume reduction of the patterned samples, where ε = (1 − δ)/(1 + δ), and where the porosity δ is given by the equation δ = πd2/4a2 (27, 36).

To gain further insights into the impact of thickness and patterning on κ, we performed EMD simulations (37). κ was studied with the EMD method using the Large-scale Atomic/Molecular Massively Parallel Simulator package and the Reactive Empirical Bond Order–Lennard Jones potential (38), which indicated that the κ of MoS2 increased from approximately 9 to 24 W/mK as the thickness was increased from 4 to 10 nm. The κ of 10-nm-thick MoS2 reached 62% of the bulk value. These simulations were compared to the experimental data from the 11-nm-thick MoS2 PnCs, which have the lowest intrinsic κ achieved in this study. The EMD model of the pristine MoS2 and MoS2 PnCs is illustrated in Fig. 3 (A and B). The sulfur atoms are irregularly arranged on the hole surface in the MoS2 PnCs due to their greater mobility relative to the molybdenum atoms (39). The whole surface was partially covered with sulfur atoms. The EMD simulations indicated that the κ of the 11-nm-thick MoS2 membranes with a period of 122 nm was 0.85 ± 0.50 W/mK, which is on the same magnitude as the experimental value (0.2 ± 0.1 W/mK). The qualitative agreement between the experimental and theoretical results validates our approach, a strategy that can be readily extended to other patterned layered materials.

Fig. 3. MD simulations and temperature-dependent thermal conductivity of MoS2.

Fig. 3.

(A) and (B) show the atomistic configurations of the pristine MoS2 membrane and the 11-nm-thick MoS2 PnCs membrane, respectively. (C) and (D) show the EMD simulated κin-plane results corresponding to the pristine MoS2 and MoS2 PnCs, and the mean values were calculated using 10 random seeds. (E) Comparison between 1LRT-based experiment (12-nm-thick MoS2) and EMD simulations (10-nm-thick MoS2) of temperature-dependent κ of a freestanding MoS2 membrane. (F) The 1LRT-based experimental (12-nm-thick MoS2) temperature-dependent κ of the same membrane after FIB nanopatterning. Dashed lines are guides to the eye.

Moreover, from the nonequilibrium MD simulations, we calculated the phonon MFPs in the in-plane direction of the MoS2 sample to be approximately 41 nm in a 4-nm-thick MoS2 (fig. S14) (40). Using the MFP reconstruction method, an MFP of 30 nm was obtained for bulk MoS2. This method was applied to the experimental results assuming that the diffusive thermal transport is governed by the Fuchs-Sondheimer approach (fig. S14) (31, 4145). In addition, we studied the temperature dependence of the κ of a 10-nm-thick MoS2 membrane. Average temperature values were used for κ determination. Through this method, both experimental and theoretical results closely align the expected T−1 trend. Both experiment and simulations showed that the κ decreases with increasing temperature, as shown in Fig. 3D. Figure 3E shows that MoS2 PnCs also exhibit the same temperature-dependent properties. For pristine MoS2 membranes, this effect originates from the temperature dependence of the phonon MFP; e.g., with increasing temperature, the wavelength of phonons dominating the heat transport becomes shorter, and phonon-phonon scattering (Umklapp processes) becomes dominant (31, 46). In contrast, for the MoS2 PnCs, the inclusion of an extra scattering mechanism (hole scattering) together with the surface overwhelms the phonon-phonon processes leading to the smaller temperature dependence of thermal conductivity (47).

Two sets of samples were designed and measured to understand the effect of membrane thickness and PnC periodicity on the thermal reduction efficiency. The reduction efficiency is defined by a reduction factor of Rκ = κpristinep-int, where κpristine is the thermal conductivity of a pristine 2D membrane and κp-int is the intrinsic thermal conductivity of a 2D MoS2 PnC. These results are compared to the original κ and the MD simulated data, as shown in Table 1. The first set of samples contains PnCs with a period of about 500 nm to study the effect of thickness on the thermal reduction efficiency in the 2D layered system. The second set of PnC samples had smaller periods and was used to study the effects of neck size and porosity on κ of the MoS2 PnCs. The information is graphically represented in Fig. 4 to facilitate comparison and further analysis. The dependence of κin-plane on the thickness in MoS2 is shown in Fig. 4A. In pristine MoS2, κpristine increases almost linearly from 29.4 ± 1.5 to 86.9 ± 4.8 W/mK for thicknesses from 4.5 to 40 nm. The minimum value of κpristine measured in the 6-nm-thick sample can be explained considering two competing scattering mechanisms, i.e., phonon-phonon and surface-phonon scattering, as has been previously reported in supported six to eight layers of MoS2 (8). By comparing the κpristine and κp-int of PnCs with period a = 500 nm, we found that the reduction factor Rκ for PnCs is approximately 10 as the thickness increases from 4.5 to 40 nm. Notably, κp-int and κpristine exhibited a consistent dependence on thickness, with all showing a small dip in κpristine for the 6-nm-thick sample. The thermal conductivity of amorphous materials is typically around 0.1 W/mK, while the thermal conductivity of our MoS2 PnCs is larger than this value (10). This observation serves as an additional validation, reaffirming the preservation of the layered structure of MoS2 following the FIB nanopatterning process. In addition, the σpristine of a layered MoS2 was characterized using the four-probe method under the flow of nitrogen (fig. S10). After patterning PnC with the typical period of 500 nm using Ga+ FIB, the sample’s σpnc was measured with the same conditions. As shown in table S2, the σ reduction factor Rσ for a 118-nm-thick MoS2 PnC (a = 500 nm) is ~2.1.

Table 1. Parameters for the MoS2 PnC samples.

t is the membrane thickness, a is the PnC period measured as the center-to-center distance between the holes, d is the hole diameter, na is the amorphous area size, κp-eff is the effective κ, κp-int is the intrinsic κ, and Rκ represents the thermal conductivity reduction factor, which is defined by Rκ = κpristinep-int.

t (nm) a (nm) d (nm) na (nm) κp-eff (2LRT) (W/mK) κp-eff (1LRT) (W/mK) κp-int (W/mK) κpristine (2LRT) (W/mK) R κ
4 (EMD) 500 315 / / / 4.6 ± 2.0 / /
4.5 500 170 13.6 3.2 ± 1.2 3.2 ± 0.2 3.9 ± 1.5 29.4 ± 1.5 7.5
6 529 187 11.6 2.3 ± 0.2 2.1 ± 0.1 2.9 ± 0.3 27.7 ± 1.5 9.6
10 318 187 11.5 0.2 ± 0.1 / 0.4 ± 0.2 30.9 ± 2.0 77.3
11 122 93 9.9 / 0.06 ± 0.02 0.17 ± 0.06 36.0 ± 3.0 211.8
11 (EMD) 121.7 106.9 / / / 0.85 ± 0.50 / /
12 494 164 21.7 2.7 ± 0.7 4.0 ± 0.4 3.2 ± 0.8 37.5 ± 1.9 11.7
14 205 139 20 / 0.4 ± 0.1 0.8 ± 0.2 39.7 ± 3.0 49.6
18 / / / / / / 50.3 ± 4.0 /
23.5 154 63 23.3 / 0.5 ± 0.1 0.7 ± 0.1 55.0 ± 5.0 78.6
24 524 131 22.7 2.6 ± 0.2 5.4 ± 0.5 2.9 ± 0.2 60.1 ± 4.8 20.7
35 106 67 / / 0.3 ± 0.1 0.6 ± 0.2 82.0 ± 3.0 136.7
40 537 93 24.5 6.2 ± 0.9 9.4 ± 0.5 6.5 ± 0.9 86.9 ± 4.8 13.4

Fig. 4. Reduction of the thermal conductivity of crystalline MoS2 membranes.

Fig. 4.

(A) Comparison of the experimental κin-plane of the pristine and nanopatterned MoS2 PnCs, with the EMD simulated κ. (B) and (C) show the κ of MoS2 PnCs with different periods as a function of neck size and porosity, respectively. (D) Comparison of the reduction factor as a function of porosity for MoS2 in this work and other nanopatterned semiconducting membranes (4953).

Furthermore, MoS2 PnCs with smaller periods (100 to 300 nm) were fabricated to investigate the role of neck size and porosity on κ in such engineered 2D materials. It was found that κp-int decreased almost linearly with decreasing neck size and increasing porosity on a logarithmic scale, as shown in Fig. 4 (B and C, respectively). This finding is consistent with prior observations in nanopatterned silicon membranes (48). As the neck size decreases to approximately 100 nm, and the porosity increases to about 30%, the κ of the MoS2 PnCs drops to about 0.5 W/mK. Most notably, an ultralow effective κ of 0.1 ± 0.1 W/mK was measured in the MoS2 PnC with a period of 122 nm, a neck size of 29 nm, and a porosity of 40%. Compared to patterned structures in other semiconducting homogeneous materials such as Si and SiC, and other nanopatterned membranes with a similar porosity (10 to 50%), MoS2 exhibits notably larger values of Rκ (Fig. 3D). Rκ increased from 7.5 to ~211.8 as the porosity increased from 9 to 40%. Nanopatterned Si and SiC membranes require porosities larger than 50% to obtain reduction factors below 5 (4953). This finding confirms that nanopatterning is an effective method to reduce the κ of MoS2.

The large reduction factor in MoS2 can also be attributed to a high degree of thermal anisotropy between the in-plane and cross-plane directions of MoS2, arising from the different crystalline bonds in these directions. Nanopatterning reduces the κ of materials due to diffusive phonon scattering at the hole boundaries. In isotropic materials such as Si and SiC, phonons undergo similar scattering, independent of the direction of propagation. However, in anisotropic materials, the transport of scattered phonons may be limited in certain directions (in the cross-plane direction in the case of 2D materials), making scattering more efficient, thus leading to a strong suppression of κ. The variation of Rκ with thickness is shown in fig. S9. By comparing the PnC samples with a similar period of 500 nm, an increase trend in Rκ is observed with thickness. This trend likely arises from the coupling between the phonon-surface scattering and the hole-introduced boundary scattering for thin film.

Termentzidis and colleagues have demonstrated that amorphization of the hole walls substantially influences heat transport in silicon PnCs (54). When considering FIB patterned MoS2, the presence of amorphous MoS2 at the hole edges also decreases κp-int; however, this effect is less important in 2D materials compared to silicon due to the presence of the van der Waals interlayer gaps. Another potential explanation for the large observed Rκ is the existence of defects in the nanopatterned MoS2. Using FIB to pattern MoS2 can lead to preferential sputtering of sulfur from the samples, resulting in a change in material stoichiometry and an increased presence of sulfur vacancies (23, 24). It has been shown that sulfur atoms are predominantly sputtered away from the top or bottom layers of MoS2 (55, 56). The presence of the amorphous phase and defects, such as sulfur vacancies, can be seen in the Raman scattering spectra of the MoS2 PnCs (fig. S7). The absence of spatial order and long-range translational symmetry leads to a red shift of the Raman modes, a broadening of their linewidth, and a remarkable decrease in their intensities.

The figure of merit (zT) in thermoelectric materials exhibits a direct correlation with the square of the Seebeck coefficient and σ, while it is inversely related to κ. In the layered MoS2, the enhanced zT is expected because the electrical reduction factor (Rσ) is smaller than the thermal conductivity reduction factor (Rκ). Therefore, our study proposes a promising strategy to enhance the thermoelectric zT of layered materials by using low-porosity PnCs. The low porosity of PnCs implies that only a minor volume fraction of material is removed from the membrane, which limits any decrease in σ. Moreover, the neck size, exceeding 200 nm, notably surpasses the electron MFP, thereby reducing the electron-boundary scattering intensity in the PnCs. Effectively, this means that the thermal and electrical conductivities can be decoupled, allowing for the tunability of the thermal properties independently from the electrical ones, ultimately leading to the increase in the thermoelectric zT.

To further advance our understanding of heat flow in patterned MoS2, we fabricated heat-routing structures based on freestanding, single-crystalline 10-nm-thick MoS2 membranes of 30-μm diameter. A heat-insulating ring with a radius r = 7.5 μm consisting of four lattice periods in width with a = 300 nm on a freestanding MoS2 membrane is shown in Fig. 5A and fig. S11. The heating laser was focused on the center of the membrane to create a hotspot. The temperature profile for the absorbed heating power P = 28.4 μW was recorded along the dashed line in Fig. 5B. The center of the membrane, i.e., inside the ring, maintained a temperature of approximately 500 K. A sharp drop of the temperature down to 330 K was recorded between the inner and outer parts of the ring, indicating that the ring blocked most of the heat flow from the center to the edges of the membrane. The temperature of the outer part of the MoS2 was almost unaffected and maintained a temperature between 300 and 330 K since it was thermally anchored to the supporting metal-coated frame. All measurements were performed in a vacuum to avoid convection or heat transfer to air. Therefore, no other dissipation channels were available, and the only path for the heat to flow was through the patterned area. The corresponding thermal resistance Rth of the patterned region can be calculated from Q = ΔT/Rth, where Q is the heat flux and ΔT is the temperature drop. The calculated Rth is 4 × 10−6 m2 K/W, which corresponds to a thermal boundary conductance G = 1/Rth = 0.25 MW/m2 K and κp-int below 1 W/mK.

Fig. 5. MoS2 thermal insulator and heat conduction channel.

Fig. 5.

(A) SEM image of a freestanding MoS2 membrane patterned with a thermal insulator ring. The dashed line indicates the scan axis. (B) The corresponding temperature profile for the absorbed power P = 28.4 μW focused on the center of the sample. (C) SEM image of a freestanding MoS2 membrane with a Z-shaped heat conduction channel. (D) The corresponding temperature map for an absorbed power P = 8.5 μW focused on the center of the sample. The dashed line indicates the membrane edge.

We extended this experiment by fabricating a Z-shaped heat guiding channel (a = 300 nm; patterned area width, 2.1 μm; channel width, 3.6 μm) on the MoS2 membrane (Fig. 5C and fig. S12). The heating laser was focused on the center of the membrane, creating a hotspot with a temperature of 560 K. Figure 5D shows the temperature distribution on the sample. The temperature inside the channel decreased from the hotspot toward the heat sink at the membrane edges. Thus, the lateral heat flow was delimited by the patterned area, and the area outside the channel was protected from high temperatures. The temperature outside the channel was close to that of the heat sink, at about 300 K. Such directional heat flow is not possible using existing heat spreading materials, such as copper or sintered silver pastes, where thermal transport is isotropic. Compared to existing 2D materials, the ultralow value of κ for nanopatterned MoS2 is comparable to its polycrystalline counterpart in the nanometer-scale grain size limit, which is in the range of 0.5 to 2 W/mK (21). To the best of our knowledge, this is the first attempt to create thermal interfaces in the in-plane direction in 2D materials that exhibit such high Rth due to such an effect. Moreover, Rth scales linearly with the width of the nanopatterned region, which provides another degree of freedom in the design of the heat-routing structures based on PnCs. Our device-like structures perform well even when the temperature of the hotspot is much higher than the hotspot temperature in a real electronic circuit, which is on the order of 400 K (57).

In summary, we have fabricated suspended crystalline MoS2 membranes of various thicknesses and applied advanced FIB-based nanopatterning techniques to develop PnCs in these membranes. Our comprehensive investigation into the thermal conductivity of MoS2 before and after nanopatterning encompasses a range of experimental and theoretical methodologies, including 1LRT, 2LRT, MD simulation, MFP reconstruction method, and COMSOL simulations. The nanopatterning technique has proven to be highly effective at enabling efficient thermal management. We achieved an unprecedentedly low thermal conductivity value of 0.1 ± 0.1 W/mK for the layered crystalline PnC structure. Our findings demonstrate the exceptional efficiency of these layered PnCs in reducing κ, surpassing the capabilities of Si and SiC PnCs with comparable periodicity by approximately 100-fold. Furthermore, we have realized MoS2-based thermal routing nanostructures for thermal isolation and heat guidance in prespecified directions. Our strategy can be readily extended to other layered materials, such as graphene or hBN, which have high thermal conductivities that make them interesting candidates for heat spreading applications. These findings enable innovative strategies for thermal management in future 3D IC electronics and thermoelectric devices containing 2D layered materials. By using nanopatterned 2D layered materials to reduce thermal conductivity while maintaining electrical conductivity, substantial improvement in both thermal management efficiency for electronics and waste heat conversion efficiency for thermoelectric devices can be achieved.

MATERIALS AND METHODS

Sample fabrication

An Au/Ti (95 nm/5 nm) layer was deposited on a SiNx TEM grid substrate (Norcada Inc., Canada) by e-beam metal deposition. A 2-mm thick polydimethylsiloxane (PDMS) film was created using a 10:1 ratio of silicon base to curing agent (Sylgard 184, Dow Corning, USA) and cured at room temperature for 24 hours. The PDMS film was used to mechanically exfoliate MoS2 membranes from bulk MoS2 crystals (Graphene Supermarket, USA), and the MoS2 membranes were dry transferred onto the Au/Ti-coated substrate, leaving a freestanding MoS2 membrane.

An FIB (Zeiss 1560XB Cross Beam, Germany) was used to mill periodic holes into the MoS2 membrane with a beam current of 2 pA, a voltage of 30 kV, and an etch time of 10 ms. An unetched center area of diameter ~5 μm was left on each membrane to be used as the heating island.

Thermal conductivity measurement

Two-laser Raman thermometry

As the frequency of a Raman mode depends on the material temperature, it can be used to probe the material temperature. The A1g peak position of the MoS2 Raman spectrum was used to probe the temperature of MoS2 membranes in this work, as its peak intensity is much stronger than that of the E12g peak.

A probe laser (532 nm, Cobolt) and a heating laser (405 nm, Cobolt) were focused on the center of a freestanding membrane from the top side and bottom side, respectively. The heating laser and the freestanding membrane were fixed on a motorized stage (Märzhäuser), which sets their relative position and prevents a change in the position of the heating laser during measurement to ensure a stable and uncontacted heating source. The probe laser was coupled to the Raman spectrometer (Horiba T64000) and scanned at various points on the sample. The probe laser spot size was 1.2 μm. The laser power absorbed by the membranes was measured in situ using a configuration described elsewhere (20, 27).

All samples were measured in a temperature-controlled vacuum chamber at a pressure of ~3 × 10−3 mtorr (Linkam). The gold layer also acted as a heat sink to ensure that the MoS2 temperature in the supported area is the same as that of the vacuum chamber. To calculate the thermal conductivity, a temperature distribution around the heating source on the freestanding membrane was required.

The 2LRT experiment consists of two consecutive scans: (i) no heating applied (“baseline”)—this measurement also helps to assess the sample quality (strain, contamination, etc.); (ii) heating applied using a 405-nm wavelength laser coupled from below the sample. The A1g frequency difference between the background scan and heating scan was divided by the A1g peak’s temperature coefficient of each sample and converted to the temperature (fig. S1 and table S1). The profiles of regions near the heat sink could be well fitted by the constant κ (Fig. 2E) where the slope of the fitting lines corresponds to the dT/d(lnr). The spectra are collected every 0.5 μm using a Märzhäuser stage with a Tango controller, which provides a repeatability <1 μm (bidirectional) and a resolution of 0.01 μm (smallest step size).

One-laser Raman thermometry

A heating-probe laser (532 nm, Cobolt) was used to heat the samples at the center as well as collect the corresponding Raman spectra. All the measurements were performed in a temperature-controlled vacuum chamber (Linkam) and the laser power absorbed by the samples was measured in situ using the configuration described elsewhere (21).

Acknowledgments

We thank X. Borrise and R. Perez for help with FIB patterning and device fabrication and B. Ballesteros and M. Rosado for help with TEM characterization, respectively. We thank R. Anufriev for the discussion on Monte Carlo simulations.

Funding: This work was supported by the Severo Ochoa program, the Spanish Research Agency (AEI, grant SEV-2017-0706), and the CERCA Programme/Generalitat de Catalunya. We acknowledge support from Spanish MICINN Project SIP (grant no. PGC2018-101743-B-I00) and MINERVA (grant no. PCI2021-122092-2A). P.X. acknowledges support from the Barcelona Recerca Jove I Emergent Convocatoria 2022 - LEONINE project (grant no. 22S09495-001) and the EU Marie Skłodowska-Curie COFUND PREBIST program (grant agreement 754558). C.M.S.T. acknowledges support from the ERC project LEIT (grant agreement 885689). A.E.S. acknowledges funding from the EU-H2020 research and innovation program under the Marie Sklodowska Curie Individual Fellowship THERMIC (grant no. 101029727). This work was supported by computational time granted from the Greek Research & Technology Network (GRNET) in the “ARIS” National HPC infrastructure under the project NOUS (pr015006); E.C.A. acknowledges the financial support from MCIN with funding from European Union NextGenerationEU (PRTR-C17.I1) and Generalitat de Catalunya.

Author contributions: P.X. performed sample fabrication. P.X., A.E.S., and E.C.A. conducted the thermal conductivity measurements. K.T., J.K., G.N., and E.C.A. performed the simulations and fits. P.X., A.E.S., E.C.A., and M.S. compiled and analyzed the data. All authors discussed the results. P.X., M.S., and R.C.N. prepared the manuscript, with contributions from all coauthors.

Competing interests: The authors declare that they have no competing interests.

Data and materials availability: All data needed to evaluate the conclusions in the paper are present in the paper and/or the Supplementary Materials.

Supplementary Materials

This PDF file includes:

Figs. S1 to S14

Tables S1 to S4

References

sciadv.adm8825_sm.pdf (2.4MB, pdf)

REFERENCES AND NOTES

  • 1.Lee H.-S., Chakrabarty K., Test challenges for 3D integrated circuits. IEEE Des. Test Comput. 26, 26–35 (2009). [Google Scholar]
  • 2.Cui Y., Li M., Hu Y., Emerging interface materials for electronics thermal management: Experiments, modeling, and new opportunities. J. Mater. Chem. C 8, 10568–10586 (2020). [Google Scholar]
  • 3.Fu Y., Hansson J., Liu Y., Chen S., Zehri A., Samani M. K., Wang N., Ni Y., Zhang Y., Zhang Z.-B., Wang Q., Li M., Lu H., Sledzinska M., Torres C. M. S., Volz S., Balandin A. A., Xu X., Liu J., Graphene related materials for thermal management. 2D Mater. 7, 012001 (2019). [Google Scholar]
  • 4.Lohrasbi S., Hammer R., Essl W., Reiss G., Defregger S., Sanz W., A comprehensive review on the core thermal management improvement concepts in power electronics. IEEE Access 8, 166880–166906 (2020). [Google Scholar]
  • 5.Song H., Liu J., Liu B., Wu J., Cheng H.-M., Kang F., Two-dimensional materials for thermal management applications. Joule 2, 442–463 (2018). [Google Scholar]
  • 6.Licht A., Pfiester N., DeMeo D., Chivers J., Vandervelde T. E., A review of advances in thermophotovoltaics for power generation and waste heat harvesting. MRS Adv. 4, 2271–2282 (2019). [Google Scholar]
  • 7.Chavez-Angel E., Tsipas P., Xiao P., Ahmadi M. T., Daaoub A. H. S., Sadeghi H., Sotomayor Torres C. M., Dimoulas A., Sachat A. E., Engineering heat transport across epitaxial lattice-mismatched van der Waals heterointerfaces. Nano Lett. 23, 6883–6891 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Yuan P., Wang R., Wang T., Wang X., Xie Y., Nonmonotonic thickness-dependence of in-plane thermal conductivity of few-layered MoS2: 2.4 to 37.8 nm. Phys. Chem. Chem. Phys. 20, 25752–25761 (2018). [DOI] [PubMed] [Google Scholar]
  • 9.Yarali M., Wu X., Gupta T., Ghoshal D., Xie L., Zhu Z., Brahmi H., Bao J., Chen S., Luo T., Koratkar N., Mavrokefalos A., Effects of defects on the temperature-dependent thermal conductivity of suspended monolayer molybdenum disulfide grown by chemical vapor deposition. Adv. Funct. Mater. 27, 1704357 (2017). [Google Scholar]
  • 10.Aiyiti A., Hu S., Wang C., Xi Q., Cheng Z., Xia M., Ma Y., Wu J., Guo J., Wang Q., Zhou J., Chen J., Xu X., Li B., Thermal conductivity of suspended few-layer MoS2. Nanoscale 10, 2727–2734 (2018). [DOI] [PubMed] [Google Scholar]
  • 11.Bae J. J., Jeong H. Y., Han G. H., Kim J., Kim H., Kim M. S., Moon B. H., Lim S. C., Lee Y. H., Thickness-dependent in-plane thermal conductivity of suspended MoS2 grown by chemical vapor deposition. Nanoscale 9, 2541–2547 (2017). [DOI] [PubMed] [Google Scholar]
  • 12.Gu X., Li B., Yang R., Layer thickness-dependent phonon properties and thermal conductivity of MoS2. J. Appl. Phys. 119, 085106 (2016). [Google Scholar]
  • 13.Sood A., Xiong F., Chen S., Cheaito R., Lian F., Asheghi M., Cui Y., Donadio D., Goodson K. E., Pop E., Quasi-ballistic thermal transport across MoS2 thin films. Nano Lett. 19, 2434–2442 (2019). [DOI] [PubMed] [Google Scholar]
  • 14.Liu J., Choi G.-M., Cahill D. G., Measurement of the anisotropic thermal conductivity of molybdenum disulfide by the time-resolved magneto-optic Kerr effect. J. Appl. Phys. 116, 233107 (2014). [Google Scholar]
  • 15.Islam A., van den Akker A., Feng P. X.-L., Anisotropic thermal conductivity of suspended black phosphorus probed by opto-thermomechanical resonance spectromicroscopy. Nano Lett. 18, 7683–7691 (2018). [DOI] [PubMed] [Google Scholar]
  • 16.Kurşun B., Sivrioğlu M., Heat transfer enhancement using U-shaped flow routing plates in cooling printed circuit boards. J. Braz. Soc. Mech. Sci. Eng. 40, 13 (2018). [Google Scholar]
  • 17.Song J., Lu L., Li B., Zhang B., Hu R., Zhou X., Cheng Q., Thermal routing via near-field radiative heat transfer. Int. J. Heat Mass Transf. 150, 119346 (2020). [Google Scholar]
  • 18.Buscema M., Barkelid M., Zwiller V., van der Zant H. S. J., Steele G. A., Castellanos-Gomez A., Large and tunable photothermoelectric effect in single-layer MoS2. Nano Lett. 13, 358–363 (2013). [DOI] [PubMed] [Google Scholar]
  • 19.Mansfield R., Salam S. A., Electrical properties of molybdenite. Proc. Phys. Soc. B 66, 377–385 (1953). [Google Scholar]
  • 20.Sledzinska M., Graczykowski B., Placidi M., Reig D. S., Sachat A. E., Reparaz J. S., Alzina F., Mortazavi B., Quey R., Colombo L., Roche S., Torres C. M. S., Thermal conductivity of MoS2 polycrystalline nanomembranes. 2D Mater. 3, 035016 (2016). [Google Scholar]
  • 21.Sledzinska M., Quey R., Mortazavi B., Graczykowski B., Placidi M., Reig D. S., Navarro-Urrios D., Alzina F., Colombo L., Roche S., Torres C. M. S., Record low thermal conductivity of polycrystalline MoS2 films: Tuning the thermal conductivity by grain orientation. ACS Appl. Mater. Interfaces 9, 37905–37911 (2017). [DOI] [PubMed] [Google Scholar]
  • 22.Stanford M. G., Rack P. D., Jariwala D., Emerging nanofabrication and quantum confinement techniques for 2D materials beyond graphene. Npj 2D Mater. Appl. 2, 20 (2018). [Google Scholar]
  • 23.Fox D. S., Zhou Y., Maguire P., O’Neill A., Ó’Coileáin C., Gatensby R., Glushenkov A. M., Tao T., Duesberg G. S., Shvets I. V., Abid M., Abid M., Wu H.-C., Chen Y., Coleman J. N., Donegan J. F., Zhang H., Nanopatterning and electrical tuning of MoS2 layers with a subnanometer helium ion beam. Nano Lett. 15, 5307–5313 (2015). [DOI] [PubMed] [Google Scholar]
  • 24.Mupparapu R., Steinert M., George A., Tang Z., Turchanin A., Pertsch T., Staude I., Facile resist-free nanopatterning of monolayers of MoS2 by focused ion-beam milling. Adv. Mater. Interfaces 7, 2000858 (2020). [Google Scholar]
  • 25.Liu F., Muruganathan M., Feng Y., Ogawa S., Morita Y., Liu C., Guo J., Schmidt M., Mizuta H., Thermal rectification on asymmetric suspended graphene nanomesh devices. Nano Futures 5, 045002 (2021). [Google Scholar]
  • 26.Sledzinska M., Graczykowski B., Maire J., Chavez-Angel E., Sotomayor-Torres C. M., Alzina F., 2D phononic crystals: Progress and prospects in hypersound and thermal transport engineering. Adv. Funct. Mater. 30, 1904434 (2020). [Google Scholar]
  • 27.Graczykowski B., El Sachat A., Reparaz J. S., Sledzinska M., Wagner M. R., Chavez-Angel E., Wu Y., Volz S., Wu Y., Alzina F., Sotomayor Torres C. M., Thermal conductivity and air-mediated losses in periodic porous silicon membranes at high temperatures. Nat. Commun. 8, 415 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Cai Y., Lan J., Zhang G., Zhang Y.-W., Lattice vibrational modes and phonon thermal conductivity of monolayer MoS2. Phys. Rev. B 89, 035438 (2014). [Google Scholar]
  • 29.Zulfiqar M., Zhao Y., Li G., Li Z., Ni J., Intrinsic thermal conductivities of monolayer transition metal dichalcogenides MX2 (M = Mo, W; X = S, Se, Te). Sci. Rep. 9, 4571 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Xiao S., Xiao P., Zhang X., Yan D., Gu X., Qin F., Ni Z., Han Z. J., Ostrikov K., Atomic-layer soft plasma etching of MoS2. Sci. Rep. 6, 19945 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Xiao P., Chavez-Angel E., Chaitoglou S., Sledzinska M., Dimoulas A., Sotomayor Torres C. M., El Sachat A., Anisotropic thermal conductivity of crystalline layered SnSe2. Nano Lett. 21, 9172–9179 (2021). [DOI] [PubMed] [Google Scholar]
  • 32.Arrighi A., Corro E. D., Urrios D. N., Costache M. V., Sierra J. F. F., Watanabe K., Taniguchi T., Garrido J. A., Valenzuela S. O., Torres C. M. S., Sledzinska M., Heat dissipation in few-layer MoS2 and MoS2/hBN heterostructure. 2D Mater. 9, 015005 (2021). [Google Scholar]
  • 33.El Sachat A., Alzina F., Sotomayor Torres C. M., Chavez-Angel E., Heat transport control and thermal characterization of low-dimensional materials: A review. Nanomaterials 11, 175 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Reparaz J. S., Chavez-Angel E., Wagner M. R., Graczykowski B., Gomis-Bresco J., Alzina F., Sotomayor Torres C. M., A novel contactless technique for thermal field mapping and thermal conductivity determination: Two-laser raman thermometry. Rev. Sci. Instrum. 85, 034901 (2014). [DOI] [PubMed] [Google Scholar]
  • 35.Ng R. C., El Sachat A., Cespedes F., Poblet M., Madiot G., Jaramillo-Fernandez J., Florez O., Xiao P., Sledzinska M., Sotomayor-Torres C. M., Chavez-Angel E., Excitation and detection of acoustic phonons in nanoscale systems. Nanoscale 14, 13428–13451 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Hashin Z., Shtrikman S., A variational approach to the theory of the effective magnetic permeability of multiphase materials. J. Appl. Phys. 33, 3125–3131 (1962). [Google Scholar]
  • 37.K. Termentzidis, Nanostructured Semiconductors Amorphization and Thermal Properties (Jenny Stanford Publishing, 2017). [Google Scholar]
  • 38.Plimpton S., Fast parallel algorithms for short-range molecular dynamics. J. Comput. Phys. 117, 1–19 (1995). [Google Scholar]
  • 39.Nikoulis G., Grammatikopoulos P., Steinhauer S., Kioseoglou J., NanoMaterialsCAD: Flexible software for the design of nanostructures. Adv. Theory Simul. 4, 2000232 (2021). [Google Scholar]
  • 40.Schelling P. K., Phillpot S. R., Keblinski P., Comparison of atomic-level simulation methods for computing thermal conductivity. Phys. Rev. B 65, 144306 (2002). [Google Scholar]
  • 41.Fuchs K., The conductivity of thin metallic films according to the electron theory of metals. Math. Proc. Camb. Philos. 34, 100–108 (1938). [Google Scholar]
  • 42.Sondheimer E. H., The mean free path of electrons in metals. Adv. Phys. 1, 1–42 (1952). [Google Scholar]
  • 43.Minnich A. J., Determining phonon mean free paths from observations of quasiballistic thermal transport. Phys. Rev. Lett. 109, 205901 (2012). [DOI] [PubMed] [Google Scholar]
  • 44.Chavez-Angel E., Zarate R. A., Fuentes S., Guo E. J., Kläui M., Jakob G., Reconstruction of an effective magnon mean free path distribution from spin Seebeck measurements in thin films. New J. Phys. 19, 013011 (2017). [Google Scholar]
  • 45.Sanchez-Martinez M.-Á., Alzina F., Oyarzo J., Sotomayor Torres C. M., Chavez-Angel E., Impact of the regularization parameter in the mean free path reconstruction method: Nanoscale heat transport and beyond. Nanomaterials 9, 414 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Alaie S., Goettler D. F., Su M., Leseman Z. C., Reinke C. M., El-Kady I., Thermal transport in phononic crystals and the observation of coherent phonon scattering at room temperature. Nat. Commun. 6, 7228 (2015). [DOI] [PubMed] [Google Scholar]
  • 47.Kasprzak M., Sledzinska M., Zaleski K., Iatsunskyi I., Alzina F., Volz S., Sotomayor Torres C. M., Graczykowski B., High-temperature silicon thermal diode and switch. Nano Energy 78, 105261 (2020). [Google Scholar]
  • 48.Nomura M., Anufriev R., Zhang Z., Maire J., Guo Y., Yanagisawa R., Volz S., Review of thermal transport in phononic crystals. Mater. Today Phys. 22, 100613 (2022). [Google Scholar]
  • 49.Anufriev R., Wu Y., Ordonez-Miranda J., Nomura M., Nanoscale limit of the thermal conductivity in crystalline silicon carbide membranes, nanowires, and phononic crystals. NPG Asia Mater 14, 35 (2022). [Google Scholar]
  • 50.Anufriev R., Maire J., Nomura M., Reduction of thermal conductivity by surface scattering of phonons in periodic silicon nanostructures. Phys. Rev. B 93, 045411 (2016). [Google Scholar]
  • 51.Sledzinska M., Graczykowski B., Alzina F., Melia U., Termentzidis K., Lacroix D., Sotomayor Torres C. M., Thermal conductivity in disordered porous nanomembranes. Nanotechnology 30, 265401 (2019). [DOI] [PubMed] [Google Scholar]
  • 52.Takahashi K., Fujikane M., Liao Y., Kashiwagi M., Kawasaki T., Tambo N., Ju S., Naito Y., Shiomi J., Elastic inhomogeneity and anomalous thermal transport in ultrafine Si phononic crystals. Nano Energy 71, 104581 (2020). [Google Scholar]
  • 53.Yu J.-K., Mitrovic S., Tham D., Varghese J., Heath J. R., Reduction of thermal conductivity in phononic nanomesh structures. Nat. Nanotechnol. 5, 718–721 (2010). [DOI] [PubMed] [Google Scholar]
  • 54.Verdier M., Lacroix D., Didenko S., Robillard J.-F., Lampin E., Bah T.-M., Termentzidis K., Influence of amorphous layers on the thermal conductivity of phononic crystals. Phys. Rev. B 97, 115435 (2018). [Google Scholar]
  • 55.Ghorbani-Asl M., Kretschmer S., Spearot D. E., Krasheninnikov A. V., Two-dimensional MoS2 under ion irradiation: From controlled defect production to electronic structure engineering. 2D Mater 4, 025078 (2017). [Google Scholar]
  • 56.Ghaderzadeh S., Ladygin V., Ghorbani-Asl M., Hlawacek G., Schleberger M., Krasheninnikov A. V., Freestanding and supported MoS2 monolayers under cluster irradiation: Insights from molecular dynamics simulations. ACS Appl. Mater. Interfaces 12, 37454–37463 (2020). [DOI] [PubMed] [Google Scholar]
  • 57.G. J. Snyder, M. Soto, R. Alley, D. Koester, B. Conner, Hot spot cooling using embedded thermoelectric coolers, in Twenty-Second Annual IEEE Semiconductor Thermal Measurement And Management Symposium (IEEE) (IEEE, 2006), pp. 135–143.
  • 58.Xu K., Gabourie A. J., Hashemi A., Fan Z., Wei N., Farimani A. B., Komsa H. P., Krasheninnikov A. V., Pop E., Ala-Nissila T., Thermal transport in MoS2 from molecular dynamics using different empirical potentials. Phys. Rev. B 99, 054303 (2019). [Google Scholar]
  • 59.Evans D. J., Homogeneous NEMD algorithm for thermal conductivity—Application of non-canonical linear response theory. Phys. Lett. A 91, 457–460 (1982). [Google Scholar]
  • 60.D.J. Evans, G.P. Morriss, Statistical Mechanics of Nonequilibrium Liquids (Academic Press, ed. 1, 1990). [Google Scholar]
  • 61.Fan Z., Dong H., Harju A., Ala-Nissila T., Homogeneous nonequilibrium molecular dynamics method for heat transport and spectral decomposition with many-body potentials. Phys. Rev. B 99, 064308 (2019). [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Figs. S1 to S14

Tables S1 to S4

References

sciadv.adm8825_sm.pdf (2.4MB, pdf)

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