Summary
The emerging cryogenic electron microscopy (cryo-EM) has demonstrated its power and essential role in probing the beam-sensitive battery materials and delivering new insights. With the increasing interest in cryo-EM for battery materials and interfaces, herein we provide the strategies of obtaining fresh and native structural information with minimal artifacts, including sample preparation, transferring, imaging, and data interpretation. We summarize the recent achievements enabled by cryo-EM and point out some unsolved/potential questions in terms of the bulk materials, solid-solid interface, and solid-liquid interfaces of batteries. Finally, we conclude with perspectives on the future developments and applications of cryo-EM in battery materials and interfaces.
Subject areas: Materials science, Materials chemistry, Materials characterization, Energy materials
Graphical abstract
Materials science; Materials chemistry; Materials characterization; Energy materials
Introduction
Lithium-ion batteries have been commercialized for three decades since 1991. However, some critical challenges such as the nature of solid electrolyte interphase (SEI) have been pursued to address due to the technical limits to characterize and diagnose the battery materials and interfaces especially at the atomic scale (Banerjee et al., 2020; Liu et al., 2019a; Verma et al., 2010; Wu et al., 2020). This issue becomes more severe when light-element (non-transition metals) and/or nanoscale materials are used for the next-generation high-energy batteries, such as lithium-sulfur (Li-S) batteries, Li-air batteries, and solid-state batteries (Lin et al., 2017; Liu et al., 2018a; Xin et al., 2017).
The emerging cryogenic electron microscopy (cryo-EM) has been demonstrated to have power and an essential role in probing the beam-sensitive battery materials and delivering many new insights (Wang et al., 2017, 2018). We summarized the literature associated with cryo-EM in the recent 20 years through the Web of Science and found that the interest in cryo-EM was gradually increased and exploded after 2015 (Figure 1A). Its application in the batteries field raised growing attention when it was used to disclose the nanostructure of the electrochemically deposited Li metal (EDLi) in 2017 (Figure 1A) (Li et al., 2017; Wang et al., 2017). The success of the cryo-EM for the batteries materials mainly lies in the reduced reactivity and enhanced stability of samples enabled by cryogenic temperature and lowered electron dose for processing and imaging (Figure 1B). The schematic working principles of cryo-EMs including cryo-focus ion beam (cryo-FIB) and cryo-transmission electron microscopy (cryo-TEM) are displayed in Figures 1C and 1D, respectively.
Figure 1.
Article publishing trends and related technologies of cryo-EM
(A) Summarized literature number as a function of years. The dashed box in Figure 1A corresponds to the estimated literature number to be published in the rest of 2021. The state-of-the-art works on cryo-EM for battery materials and interfaces are summarized in Table S1.
(B) Benefits of cryogenic temperature.
(C and D) Schematic diagram of cryo-FIB (C) (Lee et al., 2019) and cryo-TEM (D) (Zhang et al., 2020b). Copyright © 2019, American Chemical Society and Copyright © 2020, Wiley, respectively.
Several review articles related to the application of cryo-EM for batteries have been published in the past few years (Ju et al., 2021b; Li et al., 2020a; Liu et al., 2021b; Ren et al., 2020; Wang et al., 2018; Wu et al., 2021; Zhang et al., 2021c), which cover the achievements from some specific topics or groups. When cryo-EM is becoming an essential technique in the battery community, a routine workflow customized for battery materials and interfaces is highly needed to guarantee native and fresh information from samples, which is rarely involved in the previous literature. Therefore, this perspective will first provide the state-of-the-art workflow of cryo-EM for different battery materials and interfaces, including sample preparation, transferring, imaging, and data analysis. Recent achievements by using cryo-EM will be summarized, and the remaining/potential questions which probably need cryo-EM, will be exampled for the benefit of future battery research. Last but not least, the emerging analytical technologies are expected to couple with cryo-EM to develop a more efficient, powerful, intelligent, and integrated technique for materials science.
Workflow of cryo-EM
To obtain the fresh and native structural information of the battery materials and interfaces with minimal artifacts, it is critical to minimize the contamination, damage, and misleading analysis during sample preparation, transferring, imaging, and data interpretation. Based on the physical properties of samples, a routine method is provided in Figure 2 as guidance for newcomers (Wang et al., 2018).
Figure 2.
Routine method of cryo-EM for different samples.
Sample preparation: Conventional method by directly dispersing the particles on the TEM grid works for most solid particles and solid-solid interfaces. It is cautious to apply ultrasonic treatment for better dispersion because the high-energy wave may destroy the fragile samples, such as Li metal and SEI/cathode electrolyte interphase (CEI). For those large particles and buried solid-solid interface, cryo-FIB or cryo-ultramicrotomy (Chen, 2021) is suggested to thin the sample. If possible, placing a TEM grid in the batteries as a part of the current collector is a smart way to achieve a sample approaching its real electrochemical states, for example, directly plating Li/Na metal on it (Wang et al., 2018). Special attention should be paid when dealing with the fragile grid to avoid over-washing or mechanical damage.
Solid-liquid interfaces are prevalent during materials synthesis, electrode fabrication, and battery operation, which are important but rarely explored owing to difficulties in handling the liquid phase. In this regard, inspired by the biologic community, the liquid phase will become a glassy phase during plunge/rapid freezing. Thus the previous solid-liquid interface is converted to the solid-solid interface while maintaining their contact and interplay (Zachman et al., 2020). By this method, Zachman et al. obtained the interface between Li metal and liquid electrolyte for scanning transmission electron microscope (STEM) imaging (Zachman et al., 2018). With this successful demonstration, more interesting works are on the way to revealing the mystery of various solid-liquid interfaces in batteries.
Transferring: Once the sample is prepared, it is important to guarantee a safe transfer before inserting it into the TEM chamber especially for those air-sensitive battery materials. Specially designed TEM holders are preferred that enable cryo transfer, or vacuum/sealing transfer, which have been commercialized in recent years.
Imaging: Cryo-EM has the same capability as conventional electron microscopy and shows its unique merits for beam-sensitive materials. Therefore, morphology, crystalline structure (high-resolution transmission electron microscopy [HRTEM]), electronic structure (electron energy loss spectroscopy [EELS]), and elemental distribution (energy dispersive spectroscopy [EDS]), etc. can be obtained from cryo-EM with minimal artifacts (Li et al., 2017; Wang et al., 2017). For beam-sensitive samples, high electron beam dose causes the materials to melt, shrink, and sublime, whereas low dose leads to poor signal-to-noise ratio (SNR). Therefore, it is key to find a trade-off between dose and SNR for each sample. Experimentally, we should start with an ultralow dose, then gradually increase the dose to improve the SNR of the image without damaging the sample, and finally determine the appropriate electron dose for different samples. To improve the SNR, advanced cameras such as direct electron detection cameras enable to image faster, correct drift, and raise the detective quantum efficiency.
Data analysis: Since TEM is a technique sensitive to local regions, how to report a reliable and representative result becomes a great challenge. In this sense, statistical analysis is highly suggested especially when the sample is heterogenetic (Cheng et al., 2020a; Fang et al., 2019; Li et al., 2017; Wang et al., 2020b; Yang et al., 2021b). The workflow of statistical analysis (Figure 3A) includes collecting data at random regions, identifying the information of interest such as the phases and distribution from all the acquired images, and finally counting their frequency to obtain the statistical analysis results. Figures 3B–3E show several applications of statistical analysis. Wang et al. (2020b) identified ∼100 random lithium dendrites and correlated the crystallinity of EDLi with the deposition rate. Since SEI is inhomogeneous in its component and distribution, it is hard to make a conclusion based on a single image, which may be misleading (Cheng et al., 2020a; Yang et al., 2021b). Statistical analysis provides more representative and convincing results, which in turn gives more work for the data collection and analysis.
Figure 3.
Statistical analysis of TEM images
(A) The steps of statistical analysis.
(B–E) Application of statistical analysis in the literature. (B) Statistical analysis on the possibility/distribution of amorphous-Li (a-Li) and crystalline-Li (c-Li) in different current densities (Wang et al., 2020b). Copyright © 2020, Springer Nature. (C) The percentages (relative frequencies of being found) of the detected Li2CO3, Li2O, and LiF in different electrolytes (Yang et al., 2021b). Copyright © 2021, American Chemical Society. Depth distribution (D) and averaged thickness (E) of different layers within the Li/LiPON interphase extracted from 10 different regions (Cheng et al., 2020a). Copyright © 2020, Elsevier.
Insights and perspective from cryo-EM for battery
The past four years witnessed increasing attention and progress from cryo-EM for the battery materials and interfaces, which are illustrated in Table S1. In this section, we summarize these achievements and point out some remaining/potential questions in need of cryo-EM in terms of the bulk materials, solid-solid interfaces, and solid-liquid interfaces.
Bulk materials
Electrodes: Electrode fabrication is important to construct an electronic network and fulfill the capacity of active materials, which involves powder mixing, slurry casting, and drying. The changes in the microstructure of the electrode during drying or cycling are rarely explored. FIB coupled with scanning electron microscopy (SEM) enables visualization of large (>100 μm) regions and provides structural/morphology information at the electrode level. Meanwhile, cryogenic treatment can solidify the liquid phases and maintain structural integrity. Therefore, by using cryo-BIB (broad ion beam)-SEM, Jaiser et al. explored the electrode change during drying (Figure 4A) (Jaiser et al., 2017). The results show that the electrode film is gradually shrinking from 104 to 96 μm, then to 69 μm after continuous solvent evaporation and finally reaches 61 μm (Figures 4B–4E). The distribution of graphite particles, liquid phase, binders, and pores is visible especially in the EDS mappings (Figures 4F–4G). After collecting a series of high-resolution cross-sectional images, Lee et al. (2019) created a three-dimensional (3D) reconstruction of the EDLi by cryo-FIB-SEM, from which the size, shape, and packing density of Li and distribution of voids can be quantitively measured and thus correlated with the electrochemical performance. This method is expected to extend to probe the electrode change during cycling with liquid or solid electrolytes, uncovering the microstructure evolution of different components and their interfaces at the electrode level.
Figure 4.
Microstructure evolution of graphite electrode films during drying by cryo-BIB (broad ion beam)-SEM
(A) Illustration of the sample preparation procedure.
(B–E) SEM micrographs of electrode films at 8.0 (B), 15.1 (C), 37.4 (D), and 55.7 s (E).
(F and G) EDS mappings of carbon (F) and superposition of the carbon and the fluorine (G) in a drying electrode film (Jaiser et al., 2017). Copyright © 2017, Elsevier.
Active materials: The atomic structure of active materials regulates their capability and kinetic for ion storage and diffusion. Probing the structure evolution of beam-sensitive battery materials like Li metal is challenging but critical to understand their electrochemical behaviors. The nanostructure of materials in the electrode can be revealed by cryo-TEM (Lin et al., 2019). Li et al. (2017) observed that the Li dendrites prefer to grow along <111> in the carbonate-based electrolytes, which can be suppressed by interphase engineering derived from the eggshell (Ju et al., 2020). The crystallinity evolution of the Li metal as a function of deposition time and the rate was investigated by Wang et al. (Figure 5) (Wang et al., 2020b). They discovered the disorder-to-order phase transition during cycling: most of EDLi is amorphous at the initial nucleation stage (5 min in Figures 5A and 5D), especially at a lower current density (0.1 mA cm−2, Figures 5G and 5J). The critical size to form a crystalline Li cluster is about 5 nm (Figure 5B). Amorphous-rich Li is proved beneficial to reduce the dendritic growth and enhance electrochemical reversibility. Besides tuning current density and electrolyte (Wang et al., 2020b), amorphous Li clusters can be obtained by introducing heteroatom-activating electronegative sites on the current collector and thus improving the cycling performance (Huang et al., 2021). Although these works enrich the understanding of the Li growth, much work is still needed to uncover the behaviors of Li metal at different conditions, such as varied electrolytes, temperature, and pressures.
Figure 5.
Nanostructure evolution of Li deposit as a function of deposition time and rate
(A–L) Cryo-TEM images (A–C and G–I) and their corresponding fast Fourier transform patterns (D–F and J–L) of the Li deposits at 0.5 mA cm−2 for 5 (A and D), 10 (B and E), and 20 min (C and F); 0.1 mA cm−2 for 25 min (G and J); 1.0 mA cm−2 for 2.5 min (H and K); and 2.5 mA cm−2 for 1.0 min (I and L). The images with the Li metal lattice and the characteristic bright diffraction spots highlighted by the red arrows are from the (110) plane of Li metal (Wang et al., 2020b). Copyright © 2020, Springer Nature.
Besides Li metal, many other battery materials are sensitive to the beam, including oxides, sulfides, and other anode materials (Soulmi et al., 2017; Yang et al., 2021a). Li-rich oxides and high-Ni oxides are subjected to surface reconstruction under continuous electron beam radiation (Gao et al., 2020), suggesting the potential need for cryo-TEM to reduce the artifacts caused by the beam (Tyukalova et al., 2021). He et al. tracked the morphology evolution of Si nanowire during the long-term cycles and found that it is gradually bent and becomes porous after 100 cycles, which seriously degrades its cycling performance (Figure 6A) (He et al., 2021). Elemental S is volatile in the high-vacuum TEM, which can be alleviated at cryogenic temperature, providing a way to probe the nanostructure of S-containing materials, such as Fe3O4/S composite and CoS2/S composite (Levin et al., 2017; Liu et al., 2018d; Zhang et al., 2018, 2019). Yu et al. observed the phase separation of Mo and Li2S in the fully lithiated MoS2 and suggested the Mo and S migrating independently after Mo-S bonds rupture (Figures 6B and 6C) (Yu et al., 2019). Sulfide solid electrolytes are also beam sensitive (Li et al., 2020b; Song et al., 2020). The uniform distribution of crystalline β-Li3PS4 in amorphous polyethylene sulfide was confirmed by cryo-TEM; the composite shows a high conductivity of 2 × 10−5 S cm−1 at room temperature (Figure 6D) (Li et al., 2020b). Therefore, in the future, cryo-TEM will be highly wanted to probe the nanostructure of the various cathode, electrolyte, and anode materials; uncover their working principles; and correlate with the electrochemical performance.
Figure 6.
Cryo-EM images on the bulk battery materials
(A) Cryo-STEM-HAADF images of the Si nanowires at different cycles. The “soak only” sample was prepared by soaking fresh Si nanowire in the electrolyte without charge/discharge (He et al., 2021). Copyright © 2021, Springer Nature.
(B) Annular dark-field cryo-STEM image of the partially lithiated MoS2 monolayer (Yu et al., 2019).
(C) Schematic illustration of the conversion reaction in MoS2 monolayer (Yu et al., 2019). Copyright © 2019, Wiley.
(D) Cryo-TEM image for the nanostructure of the β-Li3PS4-S-PES solid electrolyte. Areas with yellow circles and red lines correspond to the amorphous and crystalline species, respectively (Li et al., 2020b). Copyright © 2020, American Chemical Society.
Solid-solid interfaces
Solid-solid interfaces regulate the charge transfer and ion diffusion in the batteries, determining the reaction rate and safety of the batteries. Of particular interest are the SEIs, CEIs, and the interfaces in the solid-state batteries (Alvarado et al., 2019; Han et al., 2020; Li et al., 2018; Liu et al., 2018b; Thenuwara et al., 2019; Vilá et al., 2020; Xu et al., 2020b). The passivation layers formed by the decomposition of the electrolyte on the surface of the anode during the charge and discharge are called SEIs and those formed on the cathode are referred to CEIs.
Solid electrolyte interphases: SEI is regarded as the most important but the least understood part in batteries. There is no consensus on the composition, content, distribution, evolution of SEI as well as its correlation with the ionic conductivity and mechanical property (Han et al., 2021a; Ju et al., 2021a; Liu et al., 2019b, 2021a, 2021c; Yuan et al., 2020a). Two typical models that are mosaic structure (Peled et al., 1997) and multilayer structure (Aurbach et al., 1994) were proposed and observed in different electrolytes (Han et al., 2021c; Li et al., 2017, 2021; Liu et al., 2018e; Zhang et al., 2020a). In mosaic structure, inorganic nanocrystals such as Li2O, LiF, and Li2CO3 are embedded in the amorphous organic matrix and their components, content, and distribution vary at different cell conditions (Xu et al., 2020a; Yuan et al., 2020b). Especially, the attractive fluorinated interphase has been proved beneficial in improving the electrochemical performance of Li metal while the underneath working principle is controversial (Sheng et al., 2020b; Yuan et al., 2020b, 2021; Zhang et al., 2021a). Most references proved the presence and increased content of LiF in SEI by X-ray photoelectron spectroscopy, whereas Yuan et al. (2021) and Huang et al. (2020) observed the individual LiF particles larger than 50 nm outside of the compact SEI. It is hard to imagine how these large particles interact with Li deposition and improve the electrochemical reversibility of Li metal. Moreover, LiF itself will limit the transport of Li ions theoretically owing to its electronic and ionic insulation. Therefore, it is still challenging to reveal the nature of the SEI and its function in regulating the ionic and mechanical properties of the battery interphase.
The evolution of SEI as a function of voltage (Huang et al., 2019c, 2019d), cycle number (He et al., 2021), or temperature (Wang et al., 2019b; Yan et al., 2019) is critical to the cycling performance of batteries. Huang et al. used CuO nanowire as the substrate and probed the SEI at different voltages. When the cell was discharged from 1.0 to 0 V and even lower, the SEI on the nanowire gradually becomes thicker (from 3 nm at 1.0 V to 8 nm at 0 V, then to 14 nm on the plated Li) and more crystalline particles form and distribute inhomogeneously (Figure 7) (Huang et al., 2019c). Note that these observations are specific to the SEI on the CuO rather than a general phenomenon extended for other substrates considering their potential catalytic effect on SEI formation (Huang et al., 2019d). After multiple cycles, SEI was found to accumulate and wrap the active material, resulting in the “dead” Li and capacity loss (Fang et al., 2019; He et al., 2021; Jin et al., 2021). Given the insufficient understanding of the SEI landscape, a lot of work is going to probe the dynamic changes of SEI under different conditions.
Figure 7.
Structural evolution of SEI on CuO nanowires
(A–L) Low-magnification images (A–D), high-magnification images (E–H), and schematic diagrams (I–L) of the SEI formed on CuO and Li at different potentials (Huang et al., 2019c). Copyright © 2019, American Chemical Society.
SEI varies at different substrates and electrolytes (Dong et al., 2021b; Huang et al., 2019a; Huang et al., 2019b; Huang et al., 2019d; Ihsan-Ul-Haq et al., 2020; Wang et al., 2019a). A silk fibroin-derived current collector leads to spherical Li deposits with a uniform SEI on the surface (Figures 8A and 8B) (Zhang et al., 2020a). When the Li was deposited on graphite, Yang et al. found that the FSI− anion contributes to forming a more compact and stable SEI (Figure 8C) compared with PF6- (Yang et al., 2021b). Electrolyte additives such as VC are preferentially decomposed to form Li2O- and LiF-rich SEI on the graphite surface, preventing the subsequent graphite exfoliation (Figure 8D) (Han et al., 2021b). Huang et al. visualized the repeated forming and vanishing of Li2O in the SEI of the Si nanowire during discharge and charge, indicating the high instability of the Si SEI (Figure 8E) (Huang et al., 2019d). At the Li/PEO-based solid polymer electrolyte, a mosaic-structure SEI is present and consists of the organic component and inorganic species, such as LiOH (Figure 8F), which increases the resistance of the solid batteries (Sheng et al., 2020a). Besides Li-ion batteries, the SEI on the Na ion and K ion batteries were also characterized by the cryo-TEM, and its property is closely related to the electrochemical performance (Han et al., 2021c; Le et al., 2020; Sun et al., 2019). For example, Ihsan-Ul-Haq et al. found a uniform and thin SEI (∼35.7 nm) formed on the amorphous Sb2Se3 while an uneven SEI film with its thickness up to ∼71.8 nm was present on the crystalline Sb2Se3 (Ihsan-Ul-Haq et al., 2021b). A thin and compact SEI is beneficial to suppress the unwanted side reactions with the electrolyte and enables fast Na+ ion transport across it (Mubarak et al., 2021).
Figure 8.
Cryo-TEM image of SEI on different anode materials
(A) Morphologies of Li plated on a bare Cu grid in the silk fibroin-Li structure (Zhang et al., 2020a).
(B) Corresponding elemental mapping images of C, N, O, and F (Zhang et al., 2020a). Copyright © 2020, The Royal Society of Chemistry.
(C) SEI of lithium deposited on graphite (Yang et al., 2021b). Copyright © 2021, American Chemical Society.
(D) SEI on graphite with vinylene carbonate (VC) as the additive (Han et al., 2021b). Copyright © 2021, The Royal Society of Chemistry.
(E) SEI of lithiated Si nanowire (Huang et al., 2019d). Copyright © 2019, Elsevier.
(F) SEI of EDLi in contact with solid polymer electrolytes. Scale bars, 2 nm (Sheng et al., 2020a). Copyright © 2020, The Royal Society of Chemistry.
Cathode electrolyte interphases: Compared with SEI, CEI is less explored since it is thin and shadowed by the surface construction and bulk structural change of cathode materials (Alvarado et al., 2018; Zhang et al., 2021d). Alvarado et al. observed a thin but uniform CEI of about 0.6 nm on the cycled LiNi0.5Mn1.5O4 (LNMO) with the sulfone-based electrolyte, whereas it is unevenly distributed with the conventional carbonate electrolyte (Alvarado et al., 2018). Zhang et al. did not find an obvious CEI on the cycled LiNi0.5Co0.2Mn0.3O2 (NMC532) for multiple particles and suggested the highly heterogeneous nature or instability of CEI (Zhang et al., 2021d). On the contrary, a thick CEI of about 27 nm was visualized on the surface of sulfurized polyacrylonitrile with 4M LiTFSI, which is dominated by LiF and LiNO2 and enables to suppress the formation of soluble polysulfides (Xing et al., 2019). A thin CEI (∼1.1 nm) was also found on the Na3V2(PO4)3/C particle, which may reduce the interface impedance (Ihsan-Ul-Haq et al., 2021a). With the increasing attention on the importance of CEI, cryo-TEM provides a powerful technique to reveal the nanostructure of CEI and its non-negligible influence on cell performance and safety.
Interfaces in all-solid-state batteries: The pursuit of higher-energy and safer batteries pushes the rapid development of all-solid-state batteries (ASSBs), in which severe interfacial reactions and resistances deteriorate the cycling and rate performance of ASSBs. Probing the interfaces inside the ASSBs is challenging not only on harvesting the buried interface but also on characterizing the fragile and beam-sensitive interphases. A combination of cryo-FIB and cryo-TEM provides an effective way to alleviate these issues (Cheng et al., 2020a; Cui et al., 2020; Zheng et al., 2020). Cui et al. (2020) and Zheng et al. (2020) performed a 3D reconstruction of the Li/LLZO interface from FIB sectioning tomography. Cheng et al. (2020a) demonstrated this methodology with the Li/LiPON interface and applied HRTEM, EDS, and EELS to analyze the interphases (Figure 9). The Li/LiPON interface was discerned in the cross-section image (Figure 9A) and EDS mapping (Figure 9B). EDS line scanning indicates the gradient distribution of N and P across the interface (Figure 9C), which exhibits a multilayer-mosaic structure by HRTEM at different positions (Figure 9D). This methodology will be widely applied to explore the mystery of interface in ASSBs and boost the development of ASSBs by interfacial engineering.
Figure 9.
The interface of Li and LiPON by cryo-FIB
(A) Cross-sectional image of the Li/LiPON sample.
(B) EDS mapping results of P and N signals.
(C) EDS line scan of P and N signals (counts per second) along the black dashed arrow in (B).
(D) Li/LiPON multilayered interphase schematic (Cheng et al., 2020a). Copyright © 2020, Elsevier.
Solid-liquid interfaces
With liquid electrolytes and additives, solid-liquid interfaces are dominant in batteries and determine the ion transfer and reaction kinetics. Such interfaces are of particular importance when soluble reaction products, catalysts, or redox mediates are involved, such as flowing active materials, polysulfides, metal ions, and O2- radicals. The key to obtaining and imaging such interfaces is to preserve the liquid phase during sample preparation and imaging via cryo treatment. By cryo-FIB and cryo-TEM, Zachman et al.(2018) obtained the interface between Li metal and liquid electrolyte (Figures 10A and 10B) and surprisingly found another kind of dendrite LiH and massive SEI as thick as 200 nm by EELS mapping (Figures 10C and 10D). These results are unprecedented and encourage more efforts on unearthing the treasure behind the various solid-liquid interface in batteries.
Figure 10.
The interface between Li and liquid electrolyte by cryo-FIB and cryo-TEM
(A) Coin-cell setup for Li plating.
(B) The plated Li with electrolyte.
(C and D) Cryo-STEM imaging (C) and its corresponding cryo-EELS elemental mapping (D) (Zachman et al., 2018). Scale bars, 2 μm (B), 300 nm (C and D). Copyright © 2018, Springer Nature.
Cryo-EM in the future
The successful application of cryo-EM for battery materials and interfaces has achieved many exciting and significant results in the past four years, enriching the fundamental understanding of nano/micro-structure and facilitating the development of the battery. Note that there are still lots of unknown structures, unsolved issues, and unclear mechanisms related to the cathode, electrolyte, anode, and their interfaces. Some of the examples are listed in Figure 11 and require cryo-EM to explore their structure and interfaces. For example, the structural nature of the oxidized oxygen anion at the high voltage (Liu et al., 2018c; Yang et al., 2021c), soluble polysulfides (Fan et al., 2021), solvated ions (Yang et al., 2021b; Zhang et al., 2021b), etc. has never been directly visualized. Space charge layer and interfacial reaction present between solid electrolytes and active materials are some of the unsolved issues hindering the fast charge transfer in all-solid-state batteries (Cheng et al., 2020b; Wang et al., 2020a). The working principle of Li plating/stripping and its interplay with SEI is unclear, especially under various operation conditions (Dong et al., 2021a).
Figure 11.
Future cryo-EM for battery materials and interfaces.
Besides the aforementioned solid-solid interface and the solid-liquid interface, the solid-gas interface and even the liquid-gas interface should also be taken into consideration. Gases (e.g., O2, CO2, and H2) are present and involved in the battery reactions, such as O2 evolution from the oxide cathodes, oxygen cathode, decomposition of electrolytes, and SEI. These gases will be trapped at a low temperature, which enables the exploration of the related reactions by cryo-EM. For instance, oxygen is a gas at ambient temperature but becomes solid at −218°C, implying that it is possible to study the oxygen release process by cryo-TEM using liquid helium.
The cryo-EM in the future is expected to be more efficient, more integrated, and more intelligent. The development of faster cameras and lower-dose imaging technology helps to obtain a higher signal-to-noise ratio with less damage. In addition, other functions should be integrated with the cryo holder, enabling various in situ experiments, such as in situ bias and cryo holder, mechanical and cryo holder, and gas and cryo holder. These functional holders will yield many interesting and unprecedented results. We also hope that the emerging technologies can be applied for battery materials and interfaces, such as cryo-micro electron diffraction (cryo-microED), cryo-electron tomography (cryo-ET), cryo-electron diffraction pair distribution function (cryo-ePDF), and machine learning. Cryo-microED can achieve high-spatial-resolution diffraction of samples to obtain various phase distributions at different positions. Cryo-ET and cryo-ePDF are helpful to analyze the amorphous/glass phases inside the battery, such as amorphous Li, SEI, CEI, and LixSi alloy (Jasim et al., 2021; Yang et al., 2021d). Besides, statistical analysis is applied for a reliable and representative result. Last but not least, advanced artificial intelligence and machine learning are promising to assist in collecting and analyzing cryo-EM images automatically to obtain a more accurate, more efficient, and more reliable result.
Limitations of study
A detailed description of advanced artificial intelligence and machine learning applied in TEM can be further conducted. In addition, methods to improve the resolution of cryo-EM can be explored.
Acknowledgments
The authors thank the financial supports from the National Natural Science Foundation of China (NSFC No. 22005334 and 21773301) and Natural Science Foundation of Beijing (Grant No. Z200013).
Author contributions
S.W. wrote and revised the manuscript and prepared figures. Y.L. and X.W. conceptualized, wrote, and revised the manuscript.
Declaration of interests
The authors declare no competing interests.
Footnotes
Supplemental information can be found online at https://doi.org/10.1016/j.isci.2021.103402.
Contributor Information
Yejing Li, Email: liyejing26@gmail.com.
Xuefeng Wang, Email: wxf@iphy.ac.cn.
Supplemental information
References
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