Fracture Dynamics in Silicon Anode Solid-State Batteries AUTHORS D. Lars Nelson1, Stephanie E. Sandoval1, Jaechan Pyo2, Donald Bistri2, Talia A. Thomas3, Kelsey Anne Cavallaro1, John A. Lewis1, Abhinav S. Iyer3, Pavel Shevchenko4, Claudio V. Di Leo*2, and Matthew T. McDowell*1,3 AFFILIATIONS 1. School of Materials Science and Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA 2. Daniel Guggenheim School of Aerospace Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA 3. George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA 4. Advanced Photon Source, Argonne National Laboratory, Lemont, IL, USA *Corresponding author: mattmcdowell@gatech.edu cvdileo@gatech.edu Keywords: Batteries, energy storage, X-ray tomography, chemo-mechanics 1 https://doi.org/10.26434/chemrxiv-2024-lmcql ORCID: https://orcid.org/0000-0001-5552-3456 Content not peer-reviewed by ChemRxiv. License: CC BY-NC 4.0 ABSTRACT Solid-state batteries (SSBs) with silicon anodes could enable improved safety and energy density compared to lithium-ion batteries.1,2 However, degradation arising from the massive volumetric changes of silicon anodes during cycling are not well understood in solid-state systems. Here, we use operando X-ray computed microtomography to reveal micro-to-macro-scale chemomechanical degradation processes of silicon anodes in SSBs. Mud-type channel cracks driven by biaxial tensile stress form across the electrode during delithiation. We also find detrimental cracks at the silicon/solid electrolyte interface that form due to local reaction competition between neighboring domains of different sizes. Continuum phase-field damage modeling quantifies stress-driven channel cracking and shows that the lithiated silicon stress state is critical for determining the extent of interfacial fracture. This work reveals novel mechanisms that govern SSBs compared to conventional lithium-ion batteries and provides guidelines for engineering chemo-mechanically resilient electrodes for high-energy batteries. 2 https://doi.org/10.26434/chemrxiv-2024-lmcql ORCID: https://orcid.org/0000-0001-5552-3456 Content not peer-reviewed by ChemRxiv. License: CC BY-NC 4.0 INTRODUCTION Silicon shows great promise as a lithium battery anode material due to its high specific capacity (3579 mAh g-1),3 natural abundance,4 low cost,4 environmental friendliness,2 and ease of manufacturing.1,5 However, its use in conventional lithium-ion batteries has been limited because of massive volumetric changes during cycling (>300%).3,6 Expansion and contraction during lithiation/delithiation cause continuous growth of the solid-electrolyte interphase (SEI) as the liquid electrolyte reacts with newly exposed surface each cycle.6–9 In SSBs, this continuous SEI growth and associated capacity fade are largely mitigated since the electrolyte does not flow into cracks.1,2,10–12 Due to limited SEI growth, micron-scale silicon particles can be used within SSB anodes,2,10 whereas nano-sized silicon with complex engineered structure is needed to minimize SEI growth in liquid-electrolyte systems.7,9,13 Recent studies have achieved stable cycling of silicon-based SSBs at relatively high stack pressure, highlighting the potential of silicon as a SSB anode.10,14–17 Despite recent promising performance, the fundamental understanding of and control over the dynamic evolution of silicon anodes in SSBs has yet to be realized.1,2 The nanoscale reaction mechanisms of silicon with lithium have previously been investigated with a variety of in situ experiments, including X-ray diffraction,18,19 transmission electron microscopy,20–22 and nuclear magnetic resonance,23,24 and the behavior of silicon electrodes in lithium-ion batteries is fairly well understood.25–27 However, SSBs present a completely different electro-chemo-mechanical environment with different expected behavior. Morphology evolution and chemo-mechanical damage of silicon electrodes in SSBs have been observed ex situ with scanning electron microscopy (SEM) and focused-ion beam (FIB) SEM.5,10,15–17,28 Thick silicon electrodes operated under stack pressure in SSBs have been shown to exhibit a vertically-oriented network of “mudcracks” after delithiation,5,10,17,28 similar to silicon electrodes in liquid-electrolyte systems.6,8,29,30 While these observations provide a glimpse into the behavior of silicon electrodes, they fail to 3 https://doi.org/10.26434/chemrxiv-2024-lmcql ORCID: https://orcid.org/0000-0001-5552-3456 Content not peer-reviewed by ChemRxiv. License: CC BY-NC 4.0 capture dynamic evolution and they can only provide a limited view of the silicon/solid-state electrolyte (SSE) interface (<100 µm). Additionally, ex situ characterization is destructive and is performed after removal of the stack pressure present during testing, which likely alters the interface from its true state. Thus, operando characterization is needed to relate structural evolution to electrochemical performance. X-ray computed tomography (XCT) is a powerful technique for revealing the morphological evolution of materials and buried interfaces due to its broad field of view and non-destructive nature. XCT imaging has proven invaluable for observing the evolution of battery materials,31–34 and efforts have focused on understanding the behavior of lithium metal anodes.35–38 XCT has also been used to characterize silicon electrodes for lithium-ion batteries.39–41 Recent investigations of composite silicon anodes in SSBs have investigated electrode additives and examined composite electrode evolution,42,43 but comprehensive investigation of degradation at the SSE/silicon interface is needed. Here, we use operando XCT to investigate the structural evolution of 99.0% microparticle silicon anodes in SSBs with Li6PS5Cl (LPSC) solid-state electrolyte. Vertical mud-type channel cracks grow through the thickness of the silicon during delithiation, as driven by shrinkage-induced biaxial tensile stress. These cracks are observed to close near the SSE interface during partial relithiation. XCT analysis reveals newly observed interfacial fracture processes at the silicon/LPSC interface, in which interfacial cracks can form during both delithiation and relithiation. The formation of interfacial cracks is caused by the local morphological dynamics of neighboring silicon domains, indicating that electrode inhomogeneities can lead to interfacial contact loss and reduction of active electrode area. To quantify the links between stress and damage, a diffusiondeformation-damage continuum phase-field framework is developed44,45 which captures the dynamic formation of the observed mud-type channel cracks and demonstrates that crack spacing 4 https://doi.org/10.26434/chemrxiv-2024-lmcql ORCID: https://orcid.org/0000-0001-5552-3456 Content not peer-reviewed by ChemRxiv. License: CC BY-NC 4.0 depends on electrode thickness/material properties. The formation of interfacial cracks is modeled in the presence of film imperfections, revealing the importance of initial stress state within the silicon in determining interfacial fracture. Together, these results provide new insight and strategies for engineering the chemo-mechanical properties of silicon electrodes, and they shed light on key mechanistic differences between emerging solid-state and conventional liquidelectrolyte battery systems. RESULTS AND DISCUSSION Visualizing Fracture Dynamics We carried out operando synchrotron XCT with half cells in a custom cell housing with 2 mm internal diameter to enable transmission of X-rays (Fig. 1a).35,36,38 The working electrode consisted of 99.0 wt% silicon microparticles slurry-cast on copper foil with an areal loading of 2.0 mg Si cm2 (7.15 mAh cm-2), and the counter electrode was lithium metal. The cylindrical cell was rotated during galvanostatic testing under X-ray illumination to collect projection images, which were then reconstructed into three-dimensional datasets of the cell stack with voxel size of 1.4 mm (Fig. 1a). An experiment with voltage curves shown in Fig. 1b involved first collecting a 3D dataset of the pristine cell, then lithiating the silicon electrode and collecting another 3D dataset. Operando scans were then performed during further delithiation and relithiation of this cell, with 30 operando datasets collected during delithiation and 12 during lithiation at 15-min intervals. The slight divots in the operando voltage curves in Figure 1b occurred during X-ray exposure, as has been reported in prior work.35 While this small-scale XCT cell showed similar electrochemical behavior to 1-cm diameter anvil cells during the first cycle (Fig. S1),10,15,16 the cutoff voltage during the operando relithiation portion was reached prematurely compared to anvil cells, resulting in lower capacity. This also resulted in accelerated capacity decay in the tomography cells with further cycling (Fig. S1). The reasons for this are discussed subsequently. 5 https://doi.org/10.26434/chemrxiv-2024-lmcql ORCID: https://orcid.org/0000-0001-5552-3456 Content not peer-reviewed by ChemRxiv. License: CC BY-NC 4.0 Figure 1: Experimental design and selected images from operando XCT. (a) Schematic representation of the operando XCT cell design, imaging, and image reconstruction procedure. (b) Galvanostatic voltage profile of a silicon half cell cycled during the operando XCT experiment at 0.5 mA cm-2 current density, 10 MPa stack pressure, and 25 °C. XCT images were collected before and after the first lithiation, and then every 15 min during delithiation and relithiation. (c) Reconstructed 3D rendering of the cell stack from XCT data, with different 2D slices highlighted. (d) Vertical cross-section images showing the silicon/LPSC interface in the (i) pristine, (ii) lithiated, (iii) delithiated, and (iv) relithiated states, with false-color overlay highlighting silicon and LPSC in (i). (e-g) Planar images from the midpoint of the silicon electrode in the (e) lithiated, (f) delithiated, and (g) relithiated states. 6 https://doi.org/10.26434/chemrxiv-2024-lmcql ORCID: https://orcid.org/0000-0001-5552-3456 Content not peer-reviewed by ChemRxiv. License: CC BY-NC 4.0 Figure 1c shows the reconstructed 3D volume obtained from the operando XCT experiment with two different 2D sections highlighted. One shows the silicon/LPSC interface, with 2D crosssectional image slices at different times shown in Fig. 1d. The other is oriented within the silicon electrode plane, and its 2D image slices are shown in Fig. 1e-g. As seen in the cross-sectional images, the ~10 mm thick pristine silicon electrode (Fig. 1d(i)) increases in thickness after lithiation and exhibits slightly darker absorption contrast due to uptake of lithium (Fig. 1d(ii)). Individual particulates in the pristine film are less distinct after lithiation, and the electrode is more continuous due to the volume expansion and merging into larger LixSi particles. The merging of silicon particles to form continuous films during lithiation has been observed in previous studies10,16,28 and is qualitatively evident from the change in visual texture from rough and particulate in the pristine state (Fig. 1d(i)) to smooth and conjoined in the lithiated state (Fig. 1d(ii)). However, the resolution of these experiments (1.4 µm voxel size) does not allow for detailed analysis of particle merging or visibility of the binder material (PVDF). Some thin cracks are also visible in select locations of the lithiated electrode, but these are very few. After delithiation, the entire electrode shows mud-type channel cracking, with vertical cracks forming between distinct domains of silicon (Fig. 1d(iii) and Fig. 1f). The average diameter of these domains is 29.5 μm ± 5.4 μm. Channel cracking has been observed in previous studies using thin film or dense silicon electrodes in liquid electrolytes, and it arises due to biaxial tension in the delithiated region under constraint from the remainder of the film.6,29,30 The average silicon domain size after one cycle is much larger than the initial average silicon particle size of 3.31 μm ± 1.92 μm (Fig. S2), which further indicates that the LixSi particles merge to become a continuous LixSi film during lithiation. A few delamination-type interfacial cracks separating silicon domains from the LPSC are also visible in the cross section after delithiation (Fig. 1d(iii)). After relithiation and volume expansion (Fig. 1d(iv)), most interfacial cracks are closed, but one is visible in the cross-sectional image, isolating a silicon domain and leaving it unreacted. The planar view of the 7 https://doi.org/10.26434/chemrxiv-2024-lmcql ORCID: https://orcid.org/0000-0001-5552-3456 Content not peer-reviewed by ChemRxiv. License: CC BY-NC 4.0 relithiated state (Fig. 1g) shows a significant reduction in the number of channel cracks due to swelling of the silicon electrode. Since relithiation was only partial, not all cracks were completely closed, with some remaining open near the current collector interface (Fig. 1d(iv)). Quantifying Fracture Processes To observe the evolution of the crack network, we used image segmentation procedures to classify and sort fractured voxels from other phases based on intensity after applying an edgepreserving Gaussian blur filter (see Methods and SI Section S2). Figure 2a-c show renderings of the 3D crack network in the lithiated, delithiated, and partially relithiated states. Figure 2d shows a tilted view of the 3D crack network in the delithiated state, highlighting the channel cracks extending through the thickness of the silicon electrode. Figure 2e shows the same tilted view after partial relithiation. Interfacial cracks at the silicon/LPSC interface are also visible in both the delithiated and partially relithiated states; they appear as dark regions in Figure 2b-c that span single silicon domains within channel crack boundaries. There are more interfacial cracks after delithiation than relithiation, and very few cracks of either type are present in the lithiated state (Fig. 2a). The images in Fig. 2a-e provide a top-down view of the segmented crack network as it evolves during delithiation and relithiation. Resolvable channel cracks begin forming across the entire electrode after ~1-h of delithiation. As these cracks widen, additional channel cracks linking them begin to form, uniformly increasing the crack density across the electrode as delithiation progresses. Interfacial cracks form sporadically later in the delithiation process in some regions enclosed by channel cracks. This suggests that local chemo-mechanical interactions between neighboring LixSi domains, rather than bulk stress evolution across the entire electrode, contribute to interfacial fracture during delithiation. During relithiation, almost all the interfacial cracks vanish, and this occurs before the channel cracks surrounding them disappear. As the electrode is further 8 https://doi.org/10.26434/chemrxiv-2024-lmcql ORCID: https://orcid.org/0000-0001-5552-3456 Content not peer-reviewed by ChemRxiv. License: CC BY-NC 4.0 relithiated, many channel cracks are closed, but some persist because the relithiation was only partial (Fig. 1b). The limited relithiation capacity arose because the cutoff voltage was reached prematurely compared to larger-diameter anvil cells (Fig. S1). The smaller diameter of the tomography cell (2 mm) as compared to typical laboratory anvil cells (~10 mm) results in a greater fraction of the SSE and electrode that are influenced by interactions with the cells walls. We quantified the porosity within the SSE pellet via image segmentation and found greater porosity near the cell edges (Fig. S3), which would increase impedance near the cell edges. Such edge effects are expected to play a greater role in cells with smaller areas. We thus believe that the lower reversibility of the tomography cell was largely due to cell edge effects, but that this does not affect the local and global fracture mechanisms we identify and investigate herein. The dynamics of fracture described above were quantified by tracking the segmented crack volume and the “unimpeded area ratio” with time (Fig. 2f). The unimpeded area ratio is defined as the fractional electrode area through which there is a continuous visible pathway through electrode material (i.e., there is no void voxel in each column of voxels between the current collector and the SSE). The total crack volume and unimpeded area ratio follow inverse S-shaped trends (Fig. 2f). There is a ~1-h period at the beginning of delithiation before the channel cracks appear. The total crack volume then starts increasing rapidly as the channel crack network opens, resulting in a decrease in unimpeded area. This increase in crack volume continues as interfacial cracks start forming, but the rate of crack volume growth slows in the second half of delithiation as the existing cracks widen without forming any new cracks. The opposite trend is observed during relithiation, as the lithiation of silicon first near the LPSC interface causes the cracks to close near this interface. Some crack volume remains after relithiation (Fig. 2c) due the partial reaction of the electrode, as discussed above. Figure 2c shows that some of the remaining crack 9 https://doi.org/10.26434/chemrxiv-2024-lmcql ORCID: https://orcid.org/0000-0001-5552-3456 Content not peer-reviewed by ChemRxiv. License: CC BY-NC 4.0 volume is in the form of channel cracks, especially near the edges of the electrode, again suggesting spatially variable lithiation due to edge effects. Figure 2: Quantifying fracture processes with image segmentation. (a-c) Renderings of the segmented 3D crack network for the (a) lithiated, (b) delithiated, and (c) relithiated states of the operando XCT experiment viewed from the current collector interface. (d) Tilted views of the 3D crack network in the (d) delithiated and (e) relithiated states with the silicon volume overlaid in gray. (f) Plots of total crack volume (top), unimpeded area ratio (middle), and galvanostatic voltage curves (bottom) with time during delithiation and relithiation. Interfacial Fracture To shed light on the localized dynamics of channel-type and interfacial fracture, Figure 3 shows time series of different cross-sectional image slices during delithiation and relithiation. Figure 3a shows a local region that features channel cracking without substantial interfacial cracking. Some small voids were observed in the lithiated state before delithiation (top image of Fig. 3a), though these are mostly unresolvable with image segmentation due to their small size compared to the larger cracks after delithiation. As delithiation progresses, the vertical channel cracks initially appear extended through the full electrode thickness and grow laterally as the LixSi shrinks, becoming the widest at the end of delithiation. The vast majority of vertical channel cracks across 10 https://doi.org/10.26434/chemrxiv-2024-lmcql ORCID: https://orcid.org/0000-0001-5552-3456 Content not peer-reviewed by ChemRxiv. License: CC BY-NC 4.0 the electrode become visible around the same time. Although the vertical cracks are already extended through the electrode thickness once they become resolvable, they must initiate and propagate through the electrode over timescales faster than the experimental temporal resolution (15 min). The LPSC interface also moves upward to accommodate the shrinking LixSi as the opposing lithium counter electrode expands. During relithiation, the vertical cracks close near the LPSC interface as lithiation causes swelling near this interface. Figure 3b shows how delithiation-driven interfacial fracture typically occurs. In this region, there is a thicker LixSi domain in the center of the image that extends ~20 µm deeper into the LPSC than the neighboring LixSi. As the LixSi electrode is delithiated, this large domain shrinks preferentially, exhibiting a greater linear dimensional change because of its larger size (see SI Section S3). This results in severe interfacial delamination at the interface between the large domain and the LPSC as the domain shrinks, but less interfacial fracture for the surrounding thinner LixSi domains. During relithiation, the crack closes within the first two image frames due to lithiation and swelling, indicating that this domain still retains sufficient contact to the interface or with neighboring domains to be electrochemically or chemically lithiated. Thus, the capacity associated with this material was not lost. Interfacial cracks were found to cover 1.5% of the total electrode area after delithiation (calculated from Fig. 2b). Other ex situ SEM imaging studies have reported interfacial fracture across wide areas of silicon electrodes,28 which may artificially arise from delamination during sample preparation due to the need to remove the materials from the stack pressure in the cell. In contrast, our operando results show that delithiation-driven interfacial fracture occurs only under thicker silicon domains (Fig. S4 shows other examples), indicating that divergent dimensional changes among neighboring domains of different thickness can intrinsically drive interfacial contact loss, a phenomenon unique to SSBs. This finding indicates that silicon electrodes with uniform thickness will likely provide enhanced interfacial contact retention and 11 https://doi.org/10.26434/chemrxiv-2024-lmcql ORCID: https://orcid.org/0000-0001-5552-3456 Content not peer-reviewed by ChemRxiv. License: CC BY-NC 4.0 better performance, and future investigations of sputtered Si films with uniform thickness, as well as methods to improve the thickness uniformity of slurry-cast electrodes, would be beneficial. Figure 3c shows the process by which a Si domain undergoes interfacial fracture upon relithiation. This region of the interface features a relatively large LixSi domain as in Figure 3b, and there is evidence of minor fracture and contact loss at the LPSC interface upon delithiation as before. Due to a lack of transport pathways at the beginning of relithiation, this domain cannot swell as quickly as the surrounding silicon regions. The neighboring silicon expands and causes the LPSC interface to move downward before the larger domain can expand appreciably, resulting in growth of the interfacial crack and full separation of the large domain from the LPSC during relithiation. The large silicon domain is thus prevented from participating in electrochemical cycling due to delamination and represents “dead silicon.” This effect was observed for several other LixSi domains and, similarly to the local dynamics in Fig. 3b, the lithiation-driven interfacial fracture in Fig. 3c only occurred at locally thicker silicon domains (Fig. S5). Very few examples of this mechanism were observed, comprising only 0.85% of the total electrode area (calculated from Fig. 2c). These findings indicate that relithiation-driven interfacial fracture occurs due to reaction competition from neighboring LixSi domains and highlights the importance of understanding dynamic relationships between evolving domains at solid-solid electrochemical interfaces. 12 https://doi.org/10.26434/chemrxiv-2024-lmcql ORCID: https://orcid.org/0000-0001-5552-3456 Content not peer-reviewed by ChemRxiv. License: CC BY-NC 4.0 Figure 3: Time-series cross-sectional XCT image slices from different locations at the silicon/LPSC interface showing the delithiation and relithiation processes. (a) Images showing the formation and partial closure of the vertical channel-crack network. (b) Images showing delithiation-driven interfacial fracture caused by neighboring particle interactions. (c) Images showing relithiation-driven interfacial fracture again caused by neighboring particle interactions. The false-color overlays in the top row highlight the LixSi and LPSC regions. The data in Figs. 1-3 are from a half cell, and to verify that these observed fracture mechanisms are not strongly affected by the choice of counter electrode with different volume change characteristics, we performed ex situ XCT imaging on a silicon-anode full cell with an NMC622/LPSC composite cathode (Fig. S6). Vertical channel cracking is readily apparent in the delithiated state, creating individual delithiated silicon domains as in the half cell. The average diameter of the delithiated silicon domains after delithiation in the full cell is 50.6 ± 7.6 μm, which is larger than the average diameter of the domains in the half cell in Fig. 1-3 (29.5 ± 5.4 μm). This size difference can may be influenced by the different Coulombic efficiencies of these experiments (60.7% for the half cell compared to 45.8% for the full cell) resulting in different degrees of 13 https://doi.org/10.26434/chemrxiv-2024-lmcql ORCID: https://orcid.org/0000-0001-5552-3456 Content not peer-reviewed by ChemRxiv. License: CC BY-NC 4.0 delithiation and shrinkage of the LixSi domains. Still, several delithiation-driven interfacial cracks are observed under larger silicon domains in the full cell (Fig. S6), similar to the half cell. In both the half and full cell datasets, we stress that the formation of smaller interfacial cracks that are not resolvable by XCT is possible, but the interfacial cracks resolved herein in both cells appear to form via similar mechanisms. Overall, these data provide firm evidence that the evolution of interfacial contact in silicon anodes depends strongly on local inhomogeneities, thickness variation, and competition among neighboring domains rather than being influenced by the counter electrode. To further quantify the factors governing interfacial fracture, the differences in thickness between LixSi domains and their surroundings were averaged for all domains that underwent delithiationdriven interfacial fracture. In the operando half cell experiment, the average initial thickness difference between the 10 LixSi domains that underwent delithiation-induced interfacial fracture and surrounding domains was 24.2 μm ± 8.6 μm, with 13.3 μm being the smallest observed thickness difference leading to fracture. After delithiation, the average thickness difference decreased to 20.7 μm ± 6.4 μm. In the ex situ full cell experiment, the average thickness difference measured for the six observed fractured domains after delithiation was 22.6 μm ± 14.8 μm (Fig. S6), which agrees with the half cell data. Importantly, in both cells, all domains with this range of thickness variation showed interfacial fracture behavior. These quantified values suggest that variations in thickness between neighboring silicon domains that are on the order of 15-25 μm will result in severe degradation of the LixSi/SSE interface. This also suggests that the maximum silicon particle size in slurry-cast electrodes must be kept below these values to prevent protrusion of individual silicon particles. Impedance Evolution During Cycling 14 https://doi.org/10.26434/chemrxiv-2024-lmcql ORCID: https://orcid.org/0000-0001-5552-3456 Content not peer-reviewed by ChemRxiv. License: CC BY-NC 4.0 To consider the chemo-mechanical evolution of silicon electrodes in SSBs in the context of electrochemical cycling, in situ potentiostatic electrochemical impedance spectroscopy (EIS) was performed on a 1-cm-diameter anvil-type silicon half cell with Li6PS5Cl (LPSC) SSE and a lithium counter electrode. The working electrode consisted of 99.0 wt% silicon microparticles slurry-cast on copper foil with an areal loading of 1.75 mg Si cm-2 (6.25 mAh cm-2). Figure 4a shows the voltage profile of the cell during the first two cycles; the voltage relaxations at intervals of 0.4 mAh cm-2 correspond to rest periods when EIS was performed. The cell shows increased reversibility compared to the smaller tomography cells due to a reduced influence of edge effects, as already described. Figure 4b-c displays the impedance spectra collected during the first two cycles of this cell. Note that control experiments on Li/Li symmetric cells with similar areal capacities showed only very minor shifts of the spectra with no change of the spectral shape, indicating that the Li counter electrode did not significantly contribute to impedance evolution under these conditions (Fig. S7). The Nyquist plot in Figure 4b reveals a small drop of impedance during the first lithiation when the silicon electrode expands. The spectral shape during the first lithiation consists of a partial semicircle at high frequencies and a short tail at lower frequencies, with an approximate semicircle width of ~32 Ω cm2 (Fig. 4b). There is then a continuous increase of impedance during the first delithiation (Fig. 4b), with the inflection point at ~2 kHz in the spectra increasing almost tenfold from 30 Ω cm2 initially to 321 Ω cm2 after delithiation. The first-cycle Coulombic efficiency was 84.6%. The ex situ SEM images in Figure 4e-f show pristine, lithiated, and delithiated silicon electrodes cycled in half cells. The initially particulate material (Fig. S2) became pulverized and densified after lithiation (Fig. 4e), followed by extensive fracture after delithiation with cracks aligned perpendicularly to the SSE interface (Fig. 4f).10 The average diameter of the silicon domains in 15 https://doi.org/10.26434/chemrxiv-2024-lmcql ORCID: https://orcid.org/0000-0001-5552-3456 Content not peer-reviewed by ChemRxiv. License: CC BY-NC 4.0 Figure 4f found by measuring in two perpendicular directions is 30.8 µm ± 5.3 µm, which is similar to that measured in the operando XCT cell (29.5 μm ± 5.4 μm). To further verify that the choice of counter electrode does not affect the observed microstructural evolution, ex situ SEM images of silicon anodes cycled in full cells vs LiNi0.6Co0.2Mn0.2O2 (NMC622) were also collected (Fig. S8),46– 48 and both sets of data show similar microstructures. The second cycle (Fig. 4c) shows a similar EIS trend as the first cycle, with a decrease of impedance during lithiation and an increase during delithiation. However, the widths of the spectra remain larger throughout the second cycle (Fig. S9 shows demagnified spectra). Ex situ SEM images after the second cycle are provided in Fig. S10. The spectra for the second cycle also feature a slightly different shape of the high frequency region compared to the first cycle, with an additional large semicircular feature between 200 kHz and 2 kHz. Recent studies have shown that evolving interfacial contact complicates the analysis of EIS data in SSBs, potentially making linear equivalent circuit models inaccurate.49–51 To analyze the EIS spectra, we nevertheless use a simple equivalent circuit to extract the total resistance corresponding to the width of all semicircular features (Fig. 4d; see Fig. S11 for the equivalent circuits). Figure 4d shows that the overall resistance of the cells increases significantly near the end of delithiation, which is likely due to both interfacial and bulk electrode evolution leading to contact loss and current constriction, as detailed previously. Moreover, the resistance during the second delithiation cycle is higher than the first. The electrochemical effects of crack formation are apparent in the context of these in situ EIS data in Fig. 4b-d, although these measurements were on different cells and thus cannot be directly correlated. The vertical channel crack network and the interfacial cracks are likely the major contributors to the increasing impedance observed during delithiation. While most silicon domains 16 https://doi.org/10.26434/chemrxiv-2024-lmcql ORCID: https://orcid.org/0000-0001-5552-3456 Content not peer-reviewed by ChemRxiv. License: CC BY-NC 4.0 within enclosed channel cracks can still participate as active material during delithiation, current constriction occurs at the edges of these regions of lost contact. Current constriction is known to exacerbate impedance increases because of locally high current densities.49,50 The relithiation process involves rapid crack closure near the LPSC interface, which likely reduces current constriction effects and correlates to the fast decrease in interfacial impedance visible in Fig. 1c during second cycle lithiation. Figure 4: In situ EIS of a silicon anode solid-state battery half cell with corresponding ex situ SEM images. (a) Voltage curves from an anvil-type silicon half cell under galvanostatic testing during which EIS spectra were collected at intervals of 0.4 mAh cm-2. The cell was cycled twice at 25 °C under 10 MPa stack pressure and a current density of 0.2 mA cm-2. (b-c) Nyquist plots from the two cycles shown in panel (a) during (b) the first and (c) the second cycles. (d) Extracted total area-specific resistance plotted against time for each half cycle of the in situ EIS experiment. (e, f) Ex situ SEM images of (e) lithiated and (f) delithiated silicon electrodes removed from cells viewed from the interface that formerly contacted the current collector. Modeling of Stress and Damage To further investigate the links between fracture and electrochemical cycling, we developed a diffusion-deformation-damage continuum model which is solved using finite elements. A diffusion- 17 https://doi.org/10.26434/chemrxiv-2024-lmcql ORCID: https://orcid.org/0000-0001-5552-3456 Content not peer-reviewed by ChemRxiv. License: CC BY-NC 4.0 deformation model44 is augmented to capture crack formation via a phase-field damage framework52–54 (see SI and Figs. S15-S16 for model derivation). The framework captures the coupled species diffusion and concurrent elastic-plastic deformation and fracture of the silicon anode due to the large volumetric changes.45,54–56 The phase-field damage approach has the unique benefit that crack paths are not pre-defined and can evolve based on local stress state. Inherent microstructural heterogeneities are numerically modeled by prescribing a spatially varying uniform distribution of the silicon fracture toughness. Figure 5a shows a representative two-dimensional plane-strain LixSi/LPSC model in which the LixSi is of uniform thickness. The LixSi simulation domain (blue region in Fig. 5a) is 150 μm by 10 μm and is attached to a 300 μm thick LPSC simulation domain (grey region in Fig. 5a). The LixSi domain is modeled through the coupled deformation-diffusion-damage continuum theory, while the LPSC electrolyte is treated as a purely linear-elastic material (see SI for details). The simulation thus mimics the experimental results shown in Fig. 3a. Figure 5a illustrates the evolution of damage contours (i.e., fracture) across this LixSi film during the first delithiation halfcycle. Note that damage 𝑑 is defined to range from zero to one with 𝑑 = 0 denoting the pristine undegraded material and 𝑑 = 1 denoting the fully fractured solid (SI Section S4). Before the delithiation step, the initial lithiation step was also simulated, resulting in no observed damage since the film remains under compression. During delithiation, significant tensile stresses develop, leading to the formation and growth of multiple vertical channel cracks in qualitative agreement with the experiments. Consistent with the experimental observations, the simulated cracks propagate across the depth of the silicon film with an average spacing of ~30 μm (see SI Section S5 and Fig. S17). Figure S18 includes the corresponding contours of normalized state of concentration (𝑐̅) and horizontal stress, (𝑇!! ). This agreement between simulation and experiment demonstrates that the modeling framework can be used to quantify aspects of stress and damage evolution. 18 https://doi.org/10.26434/chemrxiv-2024-lmcql ORCID: https://orcid.org/0000-0001-5552-3456 Content not peer-reviewed by ChemRxiv. License: CC BY-NC 4.0 Figure 5b shows another simulation with the LixSi of nonuniform thickness, as experimentally observed in Fig. 3b. During delithiation, vertical cracks form and subsequently grow underneath the thicker region at the LixSi/LPSC interface. The simulated results are in qualitative agreement with the observed crack patterns shown in Fig. 3b, including both the delamination of the interface and the concentration of vertical cracks away from the imperfection. The interfacial delamination is driven by the exacerbated vertical shrinkage of the thicker portion of the silicon electrode, leading to the presence of tensile stresses under the imperfection. Further simulations showed that the initial stress state within the thick LixSi domain influences the extent of interfacial fracture. Delamination during delithiation is concentrated beneath the imperfection when there is little stress built up during lithiation (Fig. S19). In contrast, if compressive residual stresses are present in the LixSi region after lithiation, interfacial fracture is expected away from the imperfection. This finding suggests that much of the stress associated with lithiation in the experiments is accommodated through the merging of the silicon particles and associated plastic deformation, resulting in little or no accumulation of stresses in the film at the end of the first lithiation cycle. 19 https://doi.org/10.26434/chemrxiv-2024-lmcql ORCID: https://orcid.org/0000-0001-5552-3456 Content not peer-reviewed by ChemRxiv. License: CC BY-NC 4.0 Figure 5: Phase-field modeling of the delithiation of LixSi electrodes in contact with LPSC SSE. Contours of damage evolution in a LixSi/LPSC simulation domain with LixSi electrodes of (a) uniform thickness, with the initial LixSi simulation domain being 150 μm by 10 μm and attached to a 300 μm thick LPSC domain, and b) non-uniform thickness. The LPSC electrolyte is treated as a purely linear-elastic material (see SI). Effect of Defects and Geometry The simulation results further show that microstructural defects, introduced here though spatial variation of fracture toughness, do not govern the global crack pattern. Rather, as has been discussed in relation to fragmentation of silicon films, the spacing of the vertical cracks is primarily dictated by geometry (e.g., film thickness) and material properties (e.g., yield stress and toughness).6,57,58 To illustrate this, we performed simulations on flat LixSi/LPSC interfaces with two distinct distributions of fracture toughness. Figure S17 illustrates the spatial distributions of fracture roughness and the corresponding simulated crack patterns. Irrespective of the variations in microstructural heterogeneity, vertical cracks at similar average spacing consistently propagate across the three silicon films. Additional simulations show that the crack spacing depends on film thickness,57,58 with simulations of thinner 6 μm thick films forming cracks with smaller spacing (20 μm) compared to the 10 μm films. Additionally, we performed sensitivity studies on lithium diffusivity, yield strength, and fracture toughness (Figs. S20-S22). CONCLUSION Our operando experiments have revealed the formation of cracks governed by three mechanisms in silicon-anode SSBs: (1) vertical mud-type channel cracks that grow through the thickness of the silicon, (2) delithiation-driven interfacial fracture, and (3) relithiation-driven interfacial fracture, where (2) and (3) occur under relatively thick silicon domains. In situ EIS revealed that the increase of impedance during delithiation of silicon anode SSBs is likely correlated to the development of the large crack network throughout the silicon electrode. Modeling of the silicon/SSE system showed that interfacial fracture occurs due to magnified tensile stress under 20 https://doi.org/10.26434/chemrxiv-2024-lmcql ORCID: https://orcid.org/0000-0001-5552-3456 Content not peer-reviewed by ChemRxiv. License: CC BY-NC 4.0 thicker domains, rather than global electro-chemo-mechanical phenomena. Likewise, regions of the silicon electrode that are relatively uniform in thickness are unlikely to experience interfacial fracture and will thus retain lower interfacial impedance, suggesting that methods for producing highly uniform electrodes (such as sputtered films) over large areas will enhance performance. While imaging of successive cycles was not possible during this experiment due to synchrotron time constraints, future operando XCT experiments exploring different applied stack pressures over multiple cycles would enhance our understanding of these mechanisms as they apply to silicon SSBs operating under commercially relevant conditions. Furthermore, investigation of the effects of adhesion between silicon and various SSEs on interfacial fracture is needed. Our work demonstrates that operando visualization of dynamics in emerging battery systems is critical for understanding new mechanisms that govern behavior, and it provides a step forward in the understanding and control of high-capacity alloy electrodes for SSBs. METHODS Silicon electrode preparation: Silicon electrodes were prepared with crystalline silicon powder (Sigma-Aldrich, 325 mesh), n-methyl-2-pyrrolidone (NMP) solvent (Sigma-Aldrich), and polyvinylidene fluoride (PVDF) binder (Sigma-Aldrich) using 1.0% PVDF and 99.0% silicon by mass. Slurry casting was performed with a tape caster (MTI) and doctor blade. Slurries were dried overnight in air at 50 °C. The areal loadings were 1.75 mg Si cm-2 (6.25 mAh cm-2) for the in situ EIS experiment and 2.0 mg Si cm-2 (7.15 mAh cm-2) for the operando XCT experiment. Electrodes were punched out with a 3/8-in diameter hole punch for anvil cell assembly and a 2 mm diameter hammer punch for tomography cell assembly. LNTO-coated NMC-622 composite cathode: Inside an argon-filled glovebox, 20 mg lithium acetate (Sigma-Aldrich) was combined with 4 mL anhydrous ethanol (Sigma-Aldrich), 36 µL 21 https://doi.org/10.26434/chemrxiv-2024-lmcql ORCID: https://orcid.org/0000-0001-5552-3456 Content not peer-reviewed by ChemRxiv. License: CC BY-NC 4.0 niobium ethoxide (Sigma-Aldrich), and 60 µL tantalum butoxide (Sigma-Aldrich) and stirred at 250 RPM for 6 h or until all lithium acetate was dissolved. Single-crystal NMC-622 (MSE Supplies) was combined with the solution in a ratio of 2 g NMC / 1 mL solution and then sonicated for 1 h. Outside of the glovebox, the mixture was placed in a vacuum oven overnight at 70 °C until all solvent was evaporated. In a steel-lined crucible, the dried powder was heated to 300 °C over 30 min and held at this temperature for 10 h, and it was then heated to 450 °C over 15 min and held at this temperature for 1 min before cooling to room temperature. In an argon-filled glovebox, the LNTO-coated NMC-622 powder was combined with LPSC and carbon nanofibers (CNF) in a mass ratio of 70% NMC-622 / 27.5% LPSC / 2.5% CNFs and then ball milled three times for 15 min at 150 RPM with 5 min of rest between each cycle. Solid-state anvil cell assembly: Solid-state anvil cells were assembled inside an argon-filled glovebox (MBraun, <4 ppm O2) with silicon electrodes, commercial LPSC (MSE Supplies, ultrafine particle size (~1 micron)), and either 70% LNTO-coated NMC-622 composite cathode (full cells) or lithium foil (MSE Supplies, half cells) in custom-made cell housings consisting of a PEEK cylinder with a 10 mm inner diameter and two titanium rods (just under 10 mm diameter) contained by two steel plates and 4 screws with hex nuts.15 LPSC was first pressed in the PEEK cylinder at 100 MPa to keep the LPSC pellet in place. The silicon electrode was then added, and the stack was pressed at 325 MPa for 5 min, followed by a release period of 1 min. For full cells, enough 70% LNTO-coated NMC-622 composite cathode was added to the opposite side of the LPSC to achieve an N:P ratio of 1.2 before pressing to 325 MPa for 5 min. For half cells, 3/8-in diameter lithium foil was added to the opposite side of the LPSC after the 325 MPa pressing step, and then the stack was pressed to 25 MPa for 5 min. A stack pressure of 10 MPa was applied to the battery during testing. Cells were cycled inside the argon-filled glovebox. Solid-state tomography cell assembly: Solid-state tomography cells were assembled inside an argon-filled glovebox with silicon electrodes, commercial LPSC, and either 70% LNTO-coated NMC-622 composite cathode (full cells) or lithium foil (half cells) in custom-made cell housings 22 https://doi.org/10.26434/chemrxiv-2024-lmcql ORCID: https://orcid.org/0000-0001-5552-3456 Content not peer-reviewed by ChemRxiv. License: CC BY-NC 4.0 consisting of a PEEK housing with a 2 mm inner diameter and two titanium rods contained by two hex-head screws with O-rings between the head of the screw and the edges of the PEEK housing.35,36 LPSC was first pressed in the PEEK housing to keep the LPSC pellet in place by applying moderate pressure by hand with a titanium rod. The silicon electrode was then added, and the stack was pressed to >300 MPa for 5 min, followed by a release period of 5 min. For full cells, enough 70% LNTO-coated NMC-622 composite cathode was added to achieve an N:P ratio of 1.2 to the opposite side of the LPSC before pressing to >300 MPa for 5 min. For half cells, 2 mm diameter lithium foil was added to the opposite side of the LPSC after the >300 MPa pressing step. A stack pressure of 10 MPa was applied to the battery during testing with the two hex-head screws. Cells were sealed using the O-rings between the screws and the PEEK and were cycled outside of the argon-filled glovebox for XCT imaging. Electrochemical characterization: All electrochemical measurements and tests were performed using a Bio-Logic SP-200 potentiostat. Potentiostatic EIS scans were collected over a frequency range of 2 MHz to 2 Hz with 10 steps per decade. Lab-scale anvil cells were cycled at a current density of 0.2 mA/cm2 in an argon glove box, while tomography cells were cycled at 0.5 mA/cm2. Half cells had a lower voltage cutoff of 0.0 V and an upper voltage cutoff of 1.5 V for lab-scale cells and 1.0 V for the tomography cells. Full cells were cycled between 2.5 V and 4.0 V. Scanning electron microscopy: SEM was performed on a Zeiss Ultra60 FE-SEM using an accelerating voltage of 8 kV and scanning speed of 6 during imaging. X-ray computed microtomography: XCT was performed at Argonne National Laboratory’s Advanced Photon Source (APS) on Beamline 2-BM. Monochromatic X-rays with an energy of 25.5 keV were used to image cells with a voxel size of 1.4 µm. 1500 projections, each with an exposure time of 400 ms, were collected over an angle of 180° with an Oryx 5.0 MP Mono 10GigE detector and a 2x magnification lens. 2 mm diameter tomography cells were made in a custom solid-state cell housing (Figure 2a) that allowed for stack pressure to be maintained throughout cycling while keeping the battery materials sealed in argon. 23 https://doi.org/10.26434/chemrxiv-2024-lmcql ORCID: https://orcid.org/0000-0001-5552-3456 Content not peer-reviewed by ChemRxiv. License: CC BY-NC 4.0 Digital image processing: Image reconstruction was performed at APS with the TomoPy toolbox for Python using the Gridrec method.59 Image segmentation was performed in MATLAB 2023a by first converting all scans to 16-bit depth through a normalized scale and then applying a bilateral filter (Gaussian smoothing with edge preservation) to each image using a standard deviation of 3.0 (detailed in the SI and Figs. S12-S14). Intensity-based thresholding was applied to each image to isolate the crack network. The segmentation code is included in the supplementary materials. 3D reconstructions of the images and segmented volumes were created in ORS Dragonfly (non-commercial license version). Phase-field modeling: The supplementary information contains comprehensive information on the phase-field modeling framework. ACKNOWLEDGMENTS Support is acknowledged from NASA Grant Number 80NSSC21M0101. This work was performed in part at the Georgia Tech Institute for Matter and Systems, a member of the National Nanotechnology Coordinated Infrastructure (NNCI), which is supported by the National Science Foundation (ECCS-2025462). This research used resources of the Advanced Photon Source, a U.S. Department of Energy (DOE) Office of Science user facility operated for the DOE Office of Science by Argonne National Laboratory under Contract No. DE-AC02-06CH11357. AUTHOR CONTRIBUTIONS D.L.N. and M.T.M. conceived the ideas for the study. D.L.N., S.E.S., T.A.T., K.A.C., and P.S. performed the synchrotron X-ray computed tomography. D.L.N., T.A.T., and J.A.L. designed and fabricated the tomography-scale battery housings. D.L.N., S.E.S., and A.S.I. developed the segmentation procedures and framework. J.P., D.B., and C.V.D.L. developed the continuum 24 https://doi.org/10.26434/chemrxiv-2024-lmcql ORCID: https://orcid.org/0000-0001-5552-3456 Content not peer-reviewed by ChemRxiv. License: CC BY-NC 4.0 phase-field model and performed the simulations. D.L.N., J.P., D.B., C.V.D.L., and M.T.M. wrote the manuscript. All authors discussed the results and commented on the manuscript. COMPETING INTERESTS The authors declare no competing interests. ADDITIONAL INFORMATION Supplementary Information is available for this paper. Correspondence and requests for materials should be addressed to Matthew McDowell. REFERENCES 1. Lewis, J.A., Cavallaro, K.A., Liu, Y., and McDowell, M.T. (2022). The promise of alloy anodes for solid-state batteries. Joule 6, 1418–1430. https://doi.org/10.1016/j.joule.2022.05.016. 2. Huo, H., and Janek, J. (2022). Silicon as Emerging Anode in Solid-State Batteries. ACS Energy Lett. 7, 4005–4016. https://doi.org/10.1021/acsenergylett.2c01950. 3. Obrovac, M.N., and Christensen, L. (2004). Structural changes in silicon anodes during lithium insertion/extraction. Electrochem. Solid-State Lett. 7, A93–A96. https://doi.org/10.1149/1.1652421. 4. Schmuch, R., Wagner, R., Hörpel, G., Placke, T., and Winter, M. (2018). Performance and cost of materials for lithium-based rechargeable automotive batteries. Nat. Energy 3, 267– 278. https://doi.org/10.1038/s41560-018-0107-2. 5. Yamamoto, M., Terauchi, Y., Sakuda, A., and Takahashi, M. (2018). Slurry mixing for fabricating silicon-composite electrodes in all-solid-state batteries with high areal capacity and cycling stability. J. Power Sources 402, 506–512. https://doi.org/10.1016/j.jpowsour.2018.09.070. 6. Beaulieu, L.Y., Eberman, K.W., Turner, R.L., Krause, L.J., and Dahn, J.R. (2001). Colossal Reversible Volume Changes in Lithium Alloys. Electrochem. Solid-State Lett. 4, A137–A140. https://doi.org/10.1149/1.1388178. 7. Wu, H., Chan, G., Choi, J.W., Ryu, I., Yao, Y., McDowell, M.T., Lee, S.W., Jackson, A., Yang, Y., Hu, L., et al. (2012). Stable cycling of double-walled silicon nanotube battery anodes through solid-electrolyte interphase control. Nat. Nanotechnol. 7, 310–315. https://doi.org/10.1038/nnano.2012.35. 25 https://doi.org/10.26434/chemrxiv-2024-lmcql ORCID: https://orcid.org/0000-0001-5552-3456 Content not peer-reviewed by ChemRxiv. License: CC BY-NC 4.0 8. Shi, F., Song, Z., Ross, P.N., Somorjai, G.A., Ritchie, R.O., and Komvopoulos, K. (2016). Failure mechanisms of single-crystal silicon electrodes in lithium-ion batteries. Nat. Commun. 7, 11886. https://doi.org/10.1038/ncomms11886. 9. Kim, N., Kim, Y., Sung, J., and Cho, J. (2023). Issues impeding the commercialization of laboratory innovations for energy-dense Si-containing lithium-ion batteries. Nat. Energy 8, 921–933. https://doi.org/10.1038/s41560-023-01333-5. 10. Tan, D.H.S., Chen, Y.-T., Yang, H., Bao, W., Sreenarayanan, B., Doux, J.-M., Li, W., Lu, B., Ham, S.-Y., Sayahpour, B., et al. (2021). Carbon-free high-loading silicon anodes enabled by sulfide solid electrolytes. Science 373, 1494–1499. https://doi.org/10.1126/science.abg7217. 11. Sun, Z., Yin, Q., Chen, H., Li, M., Zhou, S., Wen, S., Pan, J., Zheng, Q., Jiang, B., Liu, H., et al. (2023). Building better solid-state batteries with silicon-based anodes. Interdiscip. Mater. 2, 635–663. https://doi.org/10.1002/idm2.12111. 12. Song, A., Zhang, W., Guo, H., Dong, L., Jin, T., Shen, C., and Xie, K. (2023). A Review on the Features and Progress of Silicon Anodes-Based Solid-State Batteries. Adv. Energy Mater. 13, 2301464. https://doi.org/10.1002/aenm.202301464. 13. Je, M., Han, D.-Y., Ryu, J., and Park, S. (2023). Constructing Pure Si Anodes for Advanced Lithium Batteries. Acc. Chem. Res. 56, 2213–2224. https://doi.org/10.1021/acs.accounts.3c00308. 14. Cangaz, S., Hippauf, F., Reuter, F.S., Doerfler, S., Abendroth, T., Althues, H., and Kaskel, S. (2020). Enabling High-Energy Solid-State Batteries with Stable Anode Interphase by the Use of Columnar Silicon Anodes. Adv. Energy Mater. 10, 2001320. https://doi.org/10.1002/aenm.202001320. 15. Han, S.Y., Lee, C., Lewis, J.A., Yeh, D., Liu, Y., Lee, H.W., and McDowell, M.T. (2021). Stress evolution during cycling of alloy-anode solid-state batteries. Joule 5, 2450–2465. https://doi.org/10.1016/j.joule.2021.07.002. 16. Cao, D., Sun, X., Li, Y., Anderson, A., Lu, W., and Zhu, H. (2022). Long-Cycling Sulfide-Based All-Solid-State Batteries Enabled by Electrochemo-Mechanically Stable Electrodes. Adv. Mater. 34, 2200401. https://doi.org/10.1002/adma.202200401. 17. Yan, W., Mu, Z., Wang, Z., Huang, Y., Wu, D., Lu, P., Lu, J., Xu, J., Wu, Y., Ma, T., et al. (2023). Hard-carbon-stabilized Li–Si anodes for high-performance all-solid-state Li-ion batteries. Nat. Energy 8, 800–813. https://doi.org/10.1038/s41560-023-01279-8. 18. Hatchard, T.D., and Dahn, J.R. (2004). In Situ XRD and Electrochemical Study of the Reaction of Lithium with Amorphous Silicon. J. Electrochem. Soc. 151, A838–A842. https://doi.org/10.1149/1.1739217. 19. Li, J., and Dahn, J.R. (2007). An In Situ X-Ray Diffraction Study of the Reaction of Li with Crystalline Si. J. Electrochem. Soc. 154, A156–A161. https://doi.org/10.1149/1.2409862. 20. McDowell, M.T., Ryu, I., Lee, S.W., Wang, C., Nix, W.D., and Cui, Y. (2012). Studying the kinetics of crystalline silicon nanoparticle lithiation with in situ transmission electron microscopy. Adv. Mater. 24, 6034–6041. https://doi.org/10.1002/adma.201202744. 26 https://doi.org/10.26434/chemrxiv-2024-lmcql ORCID: https://orcid.org/0000-0001-5552-3456 Content not peer-reviewed by ChemRxiv. License: CC BY-NC 4.0 21. Liu, X.H., Wang, J.W., Huang, S., Fan, F., Huang, X., Liu, Y., Krylyuk, S., Yoo, J., Dayeh, S.A., Davydov, A.V., et al. (2012). In situ atomic-scale imaging of electrochemical lithiation in silicon. Nat. Nanotechnol. 7, 749–756. https://doi.org/10.1038/nnano.2012.170. 22. McDowell, M.T., Lee, S.W., Harris, J.T., Korgel, B.A., Wang, C., Nix, W.D., and Cui, Y. (2013). In situ TEM of two-phase lithiation of amorphous silicon nanospheres. Nano Lett. 13, 758– 764. https://doi.org/10.1021/nl3044508. 23. Key, B., Bhattacharyya, R., Morcrette, M., Seznéc, V., Tarascon, J.-M., and Grey, C.P. (2009). Real-Time NMR Investigations of Structural Changes in Silicon Electrodes for Lithium-Ion Batteries. J. Am. Chem. Soc. 131, 9239–9249. https://doi.org/10.1021/ja8086278. 24. Ogata, K., Salager, E., Kerr, C.J., Fraser, A.E., Ducati, C., Morris, A.J., Hofmann, S., and Grey, C.P. (2014). Revealing lithium–silicide phase transformations in nano-structured silicon-based lithium ion batteries via in situ NMR spectroscopy. Nat. Commun. 5, 3217. https://doi.org/10.1038/ncomms4217. 25. Sethuraman, V.A., Chon, M.J., Shimshak, M., Van Winkle, N., and Guduru, P.R. (2010). In situ measurement of biaxial modulus of Si anode for Li-ion batteries. Electrochem. Commun. 12, 1614–1617. https://doi.org/10.1016/j.elecom.2010.09.008. 26. Yang, J., Kraytsberg, A., and Ein-Eli, Y. (2015). In-situ Raman spectroscopy mapping of Si based anode material lithiation. J. Power Sources 282, 294–298. https://doi.org/10.1016/j.jpowsour.2015.02.044. 27. Chen, C.-Y., Sano, T., Tsuda, T., Ui, K., Oshima, Y., Yamagata, M., Ishikawa, M., Haruta, M., Doi, T., Inaba, M., et al. (2016). In situ Scanning Electron Microscopy of Silicon Anode Reactions in Lithium-Ion Batteries during Charge/Discharge Processes. Sci. Rep. 6, 36153. https://doi.org/10.1038/srep36153. 28. Huo, H., Jiang, M., Bai, Y., Ahmed, S., Volz, K., Hartmann, H., Henss, A., Singh, C.V., Raabe, D., and Janek, J. (2024). Chemo-mechanical failure mechanisms of the silicon anode in solidstate batteries. Nat. Mater. https://doi.org/10.1038/s41563-023-01792-x. 29. Li, J., Dozier, A.K., Li, Y., Yang, F., and Cheng, Y.-T. (2011). Crack Pattern Formation in Thin Film Lithium-Ion Battery Electrodes. J. Electrochem. Soc. 158, A689–A694. https://doi.org/10.1149/1.3574027. 30. Chew, H.B., Hou, B., Wang, X., and Xia, S. (2014). Cracking mechanisms in lithiated silicon thin film electrodes. Int. J. Solids Struct. 51, 4176–4187. https://doi.org/10.1016/j.ijsolstr.2014.08.008. 31. Finegan, D.P., Scheel, M., Robinson, J.B., Tjaden, B., Hunt, I., Mason, T.J., Millichamp, J., Di Michiel, M., Offer, G.J., Hinds, G., et al. (2015). In-operando high-speed tomography of lithium-ion batteries during thermal runaway. Nat. Commun. 6, 6924. https://doi.org/10.1038/ncomms7924. 32. Dixit, M.B., Regala, M., Shen, F., Xiao, X., and Hatzell, K.B. (2019). Tortuosity Effects in Garnet-Type Li7La3Zr2O12 Solid Electrolytes. ACS Appl. Mater. Interfaces 11, 2022–2030. https://doi.org/10.1021/acsami.8b16536. 27 https://doi.org/10.26434/chemrxiv-2024-lmcql ORCID: https://orcid.org/0000-0001-5552-3456 Content not peer-reviewed by ChemRxiv. License: CC BY-NC 4.0 33. Jnawali, A., Kok, M.D.R., Krishna, M., Varnosfaderani, M.A., Brett, D.J.L., and Shearing, P.R. (2023). Evaluating Long-Term Cycling Degradation in Cylindrical Li-Ion Batteries Using X-ray Tomography and Virtual Unrolling. J. Electrochem. Soc. 170, 090540. https://doi.org/10.1149/1945-7111/acf883. 34. Sadd, M., Xiong, S., Bowen, J.R., Marone, F., and Matic, A. (2023). Investigating microstructure evolution of lithium metal during plating and stripping via operando X-ray tomographic microscopy. Nat. Commun. 14, 854. https://doi.org/10.1038/s41467-023-36568z. 35. Lewis, J.A., Cortes, F.J.Q., Liu, Y., Miers, J.C., Verma, A., Vishnugopi, B.S., Tippens, J., Prakash, D., Marchese, T.S., Han, S.Y., et al. (2021). Linking void and interphase evolution to electrochemistry in solid-state batteries using operando X-ray tomography. Nat. Mater. 20, 503–510. https://doi.org/10.1038/s41563-020-00903-2. 36. Lewis, J.A., Sandoval, S.E., Liu, Y., Nelson, D.L., Yoon, S.G., Wang, R., Zhao, Y., Tian, M., Shevchenko, P., Martínez-Pañeda, E., et al. (2023). Accelerated Short Circuiting in AnodeFree Solid-State Batteries Driven by Local Lithium Depletion. Adv. Energy Mater. 13, 2204186. https://doi.org/10.1002/aenm.202204186. 37. Ning, Z., Li, G., Melvin, D.L.R., Chen, Y., Bu, J., Spencer-Jolly, D., Liu, J., Hu, B., Gao, X., Perera, J., et al. (2023). Dendrite initiation and propagation in lithium metal solid-state batteries. Nature 618, 287–293. https://doi.org/10.1038/s41586-023-05970-4. 38. Sandoval, S.E., Lewis, J.A., Vishnugopi, B.S., Nelson, D.L., Schneider, M.M., Cortes, F.J.Q., Matthews, C.M., Watt, J., Tian, M., Shevchenko, P., et al. (2023). Structural and electrochemical evolution of alloy interfacial layers in anode-free solid-state batteries. Joule 7, 2054–2073. https://doi.org/10.1016/j.joule.2023.07.022. 39. Paz-Garcia, J.M., Taiwo, O.O., Tudisco, E., Finegan, D.P., Shearing, P.R., Brett, D.J.L., and Hall, S.A. (2016). 4D analysis of the microstructural evolution of Si-based electrodes during lithiation: Time-lapse X-ray imaging and digital volume correlation. J. Power Sources 320, 196–203. https://doi.org/10.1016/j.jpowsour.2016.04.076. 40. Zhao, C., Wada, T., De Andrade, V., Gürsoy, D., Kato, H., and Chen-Wiegart, Y.K. (2018). Imaging of 3D morphological evolution of nanoporous silicon anode in lithium ion battery by X-ray nano-tomography. Nano Energy 52, 381–390. https://doi.org/10.1016/j.nanoen.2018.08.009. 41. Müller, S., Sauter, C., Shunmugasundaram, R., Wenzler, N., De Andrade, V., De Carlo, F., Konukoglu, E., and Wood, V. (2021). Deep learning-based segmentation of lithium-ion battery microstructures enhanced by artificially generated electrodes. Nat. Commun. 12, 6205. https://doi.org/10.1038/s41467-021-26480-9. 42. Cao, D., Ji, T., Singh, A., Bak, S., Du, Y., Xiao, X., Xu, H., Zhu, J., and Zhu, H. (2023). Unveiling the Mechanical and Electrochemical Evolution of Nanosilicon Composite Anodes in SulfideBased All-Solid-State Batteries. Adv. Energy Mater. 13, 2203969. https://doi.org/10.1002/aenm.202203969. 43. Sakka, Y., Matsumoto, M., Yamashige, H., Takeuchi, A., Uesugi, M., Uesugi, K., Zhong, C., Shimoda, K., Okazaki, K., and Orikasa, Y. (2024). Investigating Plastic Deformation Between 28 https://doi.org/10.26434/chemrxiv-2024-lmcql ORCID: https://orcid.org/0000-0001-5552-3456 Content not peer-reviewed by ChemRxiv. License: CC BY-NC 4.0 Silicon and Solid Electrolyte in All-Solid-State Batteries Using Operando X-ray Tomography. J. Electrochem. Soc. 171, 070536. https://doi.org/10.1149/1945-7111/ad63d0. 44. Di Leo, C.V., Rejovitzky, E., and Anand, L. (2015). Diffusion–deformation theory for amorphous silicon anodes: The role of plastic deformation on electrochemical performance. Int. J. Solids Struct. 67–68, 283–296. https://doi.org/10.1016/j.ijsolstr.2015.04.028. 45. Bistri, D., and Di Leo, C.V. (2023). A continuum electro-chemo-mechanical gradient theory coupled with damage: Application to Li-metal filament growth in all-solid-state batteries. J. Mech. Phys. Solids 174, 105252. https://doi.org/10.1016/j.jmps.2023.105252. 46. Dolotko, O., Senyshyn, A., Mühlbauer, M.J., Nikolowski, K., and Ehrenberg, H. (2014). Understanding structural changes in NMC Li-ion cells by in situ neutron diffraction. J. Power Sources 255, 197–203. https://doi.org/10.1016/j.jpowsour.2014.01.010. 47. Kondrakov, A.O., Schmidt, A., Xu, J., Geßwein, H., Mönig, R., Hartmann, P., Sommer, H., Brezesinski, T., and Janek, J. (2017). Anisotropic Lattice Strain and Mechanical Degradation of High- and Low-Nickel NCM Cathode Materials for Li-Ion Batteries. J. Phys. Chem. C 121, 3286–3294. https://doi.org/10.1021/acs.jpcc.6b12885. 48. Koerver, R., Zhang, W., De Biasi, L., Schweidler, S., Kondrakov, A.O., Kolling, S., Brezesinski, T., Hartmann, P., Zeier, W.G., and Janek, J. (2018). Chemo-mechanical expansion of lithium electrode materials-on the route to mechanically optimized all-solid-state batteries. Energy Environ. Sci. 11, 2142–2158. https://doi.org/10.1039/c8ee00907d. 49. Eckhardt, J.K., Klar, P.J., Janek, J., and Heiliger, C. (2022). Interplay of Dynamic Constriction and Interface Morphology between Reversible Metal Anode and Solid Electrolyte in Solid State Batteries. ACS Appl. Mater. Interfaces 14, 35545–35554. https://doi.org/10.1021/acsami.2c07077. 50. Eckhardt, J.K., Fuchs, T., Burkhardt, S., Klar, P.J., Janek, J., and Heiliger, C. (2022). 3D Impedance Modeling of Metal Anodes in Solid-State Batteries–Incompatibility of Pore Formation and Constriction Effect in Physical-Based 1D Circuit Models. ACS Appl. Mater. Interfaces 14, 42757–42769. https://doi.org/10.1021/acsami.2c12991. 51. Singh, D.K., Henss, A., Mogwitz, B., Gautam, A., Horn, J., Krauskopf, T., Burkhardt, S., Sann, J., Richter, F.H., and Janek, J. (2022). Li6PS5Cl microstructure and influence on dendrite growth in solid-state batteries with lithium metal anode. Cell Rep. Phys. Sci. 3, 101043. https://doi.org/10.1016/j.xcrp.2022.101043. 52. Miehe, C., Hofacker, M., and Welschinger, F. (2010). A phase field model for rate-independent crack propagation: Robust algorithmic implementation based on operator splits. Comput. Methods Appl. Mech. Eng. 199, 2765–2778. https://doi.org/10.1016/j.cma.2010.04.011. 53. Navidtehrani, Y., Betegón, C., and Martínez-Pañeda, E. (2021). A simple and robust Abaqus implementation of the phase field fracture method. Appl. Eng. Sci. 6, 100050. https://doi.org/10.1016/j.apples.2021.100050. 54. Klinsmann, M., Rosato, D., Kamlah, M., and McMeeking, R.M. (2016). Modeling crack growth during Li insertion in storage particles using a fracture phase field approach. J. Mech. Phys. Solids 92, 313–344. https://doi.org/10.1016/j.jmps.2016.04.004. 29 https://doi.org/10.26434/chemrxiv-2024-lmcql ORCID: https://orcid.org/0000-0001-5552-3456 Content not peer-reviewed by ChemRxiv. License: CC BY-NC 4.0 55. Miehe, C., Dal, H., Schänzel, L.-M., and Raina, A. (2016). A phase-field model for chemomechanical induced fracture in lithium-ion battery electrode particles. Int. J. Numer. Methods Eng. 106, 683–711. https://doi.org/10.1002/nme.5133. 56. Zhang, X., Krischok, A., and Linder, C. (2016). A variational framework to model diffusion induced large plastic deformation and phase field fracture during initial two-phase lithiation of silicon electrodes. Comput. Methods Appl. Mech. Eng. 312, 51–77. https://doi.org/10.1016/j.cma.2016.05.007. 57. Paloukis, F., Elmasides, C., Farmakis, F., Selinis, P., Neophytides, S.G., and Georgoulas, N. (2016). Electrochemical Impedance Spectroscopy study in micro-grain structured amorphous silicon anodes for lithium-ion batteries. J. Power Sources 331, 285–292. https://doi.org/10.1016/j.jpowsour.2016.09.062. 58. Shen, J., and Raj, R. (2011). Silicon-oxycarbide based thin film anodes for lithium ion batteries. J. Power Sources 196, 5945–5950. https://doi.org/10.1016/j.jpowsour.2011.02.091. 59. Gürsoy, D., De Carlo, F., Xiao, X., and Jacobsen, C. (2014). TomoPy: a framework for the analysis of synchrotron tomographic data. J. Synchrotron Radiat. 21, 1188–1193. https://doi.org/10.1107/S1600577514013939. 30 https://doi.org/10.26434/chemrxiv-2024-lmcql ORCID: https://orcid.org/0000-0001-5552-3456 Content not peer-reviewed by ChemRxiv. License: CC BY-NC 4.0
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