Abstract
The inadequate understanding of the mechanisms that reversibly convert molecular sulfur (S) into lithium sulfide (Li2S) via soluble polysulfides (PSs) formation impedes the development of high-performance lithium-sulfur (Li-S) batteries with non-aqueous electrolyte solutions. Here, we use operando small and wide angle X-ray scattering and operando small angle neutron scattering (SANS) measurements to track the nucleation, growth and dissolution of solid deposits from atomic to sub-micron scales during real-time Li-S cell operation. In particular, stochastic modelling based on the SANS data allows quantifying the nanoscale phase evolution during battery cycling. We show that next to nano-crystalline Li2S the deposit comprises solid short-chain PSs particles. The analysis of the experimental data suggests that initially, Li2S2 precipitates from the solution and then is partially converted via solid-state electroreduction to Li2S. We further demonstrate that mass transport, rather than electron transport through a thin passivating film, limits the discharge capacity and rate performance in Li-S cells.
Subject terms: Batteries, Batteries
Understanding lithium sulfide’s electrodeposition and stripping is key to developing practical Li-S batteries. Here, the authors demonstrate that the discharge product in Li-S batteries consists of nano-size solid polysulfide particles and nano-crystalline lithium sulfide.
Introduction
Lithium-sulfur (Li-S) batteries are considered strategic candidates to reduce the environmental impact of non-aqueous Li-based batteries1. The high expectations arise from the large theoretical capacities, abundance, and low cost of sulfur2–4. Li-S batteries reversibly cycle sulfur to lithium sulfide (S / Li2S), typically in a highly porous carbon cathode soaked with a liquid, non-aqueous electrolyte and using a lithium metal anode. Discharge converts S to Li2S stepwise via polysulfides (PSs) Li2Sx (2 < x < 8). Practical realization of Li-S cells is hindered by incomplete S utilization, poor S/Li2S mass loadings, rapid capacity fading, low rate capabilities, and irreversible reactions of PSs at the anode3,5,6. These issues all trace back to insufficient understanding of S-to-Li2S conversion.
The physical-chemical mechanism to reversibly form and dissolve solid Li2S remains controversial7,8. Many studies consider Li2S to form via direct electroreduction of Li2S2 or longer-chain PSs at the carbon-electrolyte interface8–12. However, as the electrodeposition of an electronic insulator like Li2S is in principle self-limited, the fact that Li2S deposits are beyond tens and hundreds of nm in size and porous13–15 suggest that they form via a solution-mediated process. This is supported by the finding that capacity is limited by mass transport rather than electron transport through a passivating film16–18. Such a solution-mediated processes could be the disproportionation of dissolved PSs, as considered by some studies13,16,19. Another option would be direct electroreduction of molecular Li2S2 to dissolved Li2S (2 Li+, S2–), which then precipitates solid Li2S crystallites, similar to the electrodeposition of NaO2 or KO2 in Na-O2 and K-O2 batteries20. However, large deposits beyond tens or hundreds of nanometers would require a solubility of Li2S beyond the reported 10–6 M15,21. Some studies consider solid Li2S2 to be involved, however, there is little experimental evidence22–24.
While operando X-ray diffraction25–27 and spectroscopy28–31 provide insights into the chemistries occurring during (de)lithiation, a complete understanding of the mechanisms of Li2S formation requires a detailed chemical as well as structural picture on atomic and nanometer length scales. The structures within Li-S cells have been studied using (operando) electron and X-ray microscopy32–35. (Operando) microscopy provide unique model-free structural information, but these techniques can be limited by, the Li2S stability, the resolution, field of view, the challenges of 3D imaging or the cell design. The cell design in an operando nanotomography cell, for example, requires extremely small electrodes and separators in the order of a few tens of micrometers36. Operando transmission electron microscopy (TEM) cells are typically realized with a solid (Li2O) electrolyte37. The mechanism of S/Li2S conversion in such all-solid-state battery is different from Li-S batteries with non-aqueous liquid electrolyte solutions. Small angle scattering can provide complementary structural sensitivity from sub-nm to 100 nm, regardless of whether the probed phases are crystalline, amorphous or liquid38. As an additional advantage, the used operando cells have often a design and electrochemical characteristics similar to conventional lab-scale coin-cells39–42. Recent operando small angle neutron and X-ray scattering studies confirmed the ability to follow the morphological evolution of solid discharge products not much larger than a few nm41,42. Neutron and X-ray scattering are complementary methods since the phases are probed with different scattering contrasts.
Here, we perform operando small and wide angle X-ray scattering (SAXS/WAXS) and operando small angle neutron scattering (SANS) to gain simultaneous structural and chemical insights from atomic to sub-micrometer scales with time resolutions down to several seconds39,40,43. Stochastic modelling enables quantitative interpretation of the SANS results28,41. During lithiation, we observe the formation of a hierarchical structure, consisting of aggregates of Li2S crystallites and a second solid short-chain PS phase, which we argue to be Li2S2. Li2S is formed by the solid-state conversion of Li2S2. During delithiation, the reverse process occurs. Complementary information from Raman spectroscopy, electron microscopy, and electrochemical measurements allows us to validate our model for (de)lithiation. These findings show that discharge capacities and rates in Li-S batteries are limited by transport through the tortuous solid deposits and give inspiration for how cell design, electrolyte selection, and cycling proposals can be used to optimize performance17.
Results
Operando small and wide angle X-ray scattering measurements
Operando SAXS/WAXS experiments are carried out with a commercial (SAXS/WAXS) electrochemical operando scattering cell40 holding a high surface area conductive carbon cathode (carbon black with specific surface area = 1400 m2 gC−1), a Li metal anode, and a catholyte comprising 0.5 M Li2S8, 1 M lithium bis(trifluoromethane)sulfonimide (LiTFSI), and 0.4 M LiNO3 in diethylene glycol dimethyl ether (2 G). Having 0.5 M Li2S8 corresponds to an electrolyte-to-sulfur (E/S) ratio of 7.8 µl mgS−1 (Supplementary Note 1). The separator as catholyte reservoir is oversized to ensure that the material deposition on the cathode is not limited by the S amount. The S amount in the catholyte corresponds to a theoretical cathode mass loading of 19.95 mg cm−2 (Supplementary Note 1). Equivalent operando SANS experiments are conducted with a similar custom-built operando cell (Supplementary Fig. 1). Electrode and separator dimension for the SANS measurements are slightly different with a theoretical cathode mass loading of 19.29 mg cm−2. A deuterated 2 G solvent improves materials contrast and minimizes the carbon scattering contribution with SANS. To verify that our findings hold more generally, we also perform operando SAXS/WAXS experiments on another electrochemical energy storage system with a carbon black / sulfur composite cathode and 1 M LiTFSI in tetraethylene glycol dimethyl ether:dioxolane (TEGDME:DOL, 1:1) without PSs as the electrolyte (Supplementary Fig. 2). SAXS and WAXS intensities are recorded on separate areal detectors (Fig. 1a) with a time resolution of 1 min during potentiostatic discharge/charge. The X-ray beam hit the Li metal anode, the catholyte-soaked separator and the carbon black cathode. All reversible structural changes seen by operando SAXS/WAXS and SANS stem from the reversible deposition/dissolution of active material in the carbon cathode only (Supplementary Figs. 3, 4). More details are given in the Methods.
The (dis)charge profile in the operando cell shows the expected behavior of a Li-S electrochemical energy storage system (Fig. 1b). The absolute current during potentiostatic discharge at 2.0 V vs. Li/Li+ exhibits a distinct minimum indicating the point where Li2S formation dominates. After this minimum, the current (i.e., the Li2S formation rate) increases, since the growth of Li2S on existing Li2S nuclei occurs at a higher rate than initial nucleation. The reduction in current after ~4500 s indicates the onset of capacity-limiting processes. The discharge is stopped after 2.5 h at a capacity of 1520 mAh gC–1 (normalized by the carbon mass, as there is no defined amount of sulfur present at the cathode). The maximum theoretical capacity of Li2S8 in the 60 µl catholyte corresponds to ~18000 mAh gC−1, indicating that the capacity is not limited by the amount of S in the catholyte. Consistent with literature15,16, ex situ SEM micrographs of electrodes after full potentiostatic discharge show large structures with particle sizes beyond 100 nm (Fig. 1c). Due to the poor electronic conductivity of Li2S (>10−19 S cm−1 according to Ref. 44.), the resolution of SEM is not sufficient to resolve the nanostructure below 100 nm properly; however, these insights can be obtained by SAXS and SANS. During charge at 2.45 V vs. Li/Li+ for the same time (2.5 h), initially high currents fade quickly after ~2/3 of the capacity (~1 mAh gC−1).
The initial SAXS intensity prior to discharge shows a roughly linear decay in the double-logarithmic plot (Fig. 2a). Such power law behavior is typical for the fractal-like structure of paracrystalline carbon-based electrodes. During discharge, the SAXS intensity generally increases, with a larger increase at high scattering vector length (q) around 1.5 nm–1 and at low-q around 0.2 nm–1. The background-corrected WAXS intensities indicate the formation of Li2S crystallites during discharge (Fig. 2b).
To visualize the subtle SAXS intensity changes during the full potentiostatic discharge/charge cycle, we plot the relative SAXS intensity change with respect to the initial SAXS intensity prior to discharge as a function of time and scattering vector length q (Fig. 2c, d). The WAXS intensity is also plotted as a function of time and scattering angle in Fig. 2e. As solid Li2S starts to form (as evidenced by the decreasing current at ~5000 s in Fig. 2c and the emergence of the Li2S crystallites in Fig. 2e), two distinct maxima appear on the relative SAXS intensity at low q (regime qA) and at high q (regime qB). In line with the high currents during charge (Figs. 1b, 2c), these features disappear quickly during charge compared to their emergence during discharge.
Comparing the changes in intensities of the SAXS and WAXS features (Fig. 2f) shows similarities in the emergence of the WAXS and the high q SAXS feature during discharge. Meanwhile the low q SAXS feature decreases at the end of discharge. During charge, the low-q SAXS feature decreases quickest. The WAXS signal from the Li2S crystallites decreases more slowly, with the high-q feature decreasing even slower. These observations suggest that the relative SAXS intensity maxima, while related to Li2S deposition and dissolution, do not correlate directly to the Li2S crystallites probed by WAXS. The two distinct maxima may be caused by more than one solid discharge product.
Importantly, the shape of the SAXS curves does not only depend on the amount and morphology of solid particles such as Li2S. The exact SAXS intensity changes are a complex function of all contributing structures (deposit, carbon black and electrolyte) and their cross-correlations (see Eqs. 4–5 for a three-phase system in the Methods section). The decrease of the SAXS intensity in the qA regime (grey line in Fig. 2f) at the end of discharge, for example, could be explained by a slight increase of the dissolved PS concentration in the electrolyte.
SAXS features arising from solid non-Li2S phases is further supported when considering the sizes of the features. From WAXS, we use the Scherrer equation (details are given in the Methods section) to estimate that the Li2S crystallite size (i.e., mean diameter) increases and plateaus at about ~7 nm (Fig. 2g). A Williamson-Hall analysis45 on a galvanostatically discharged carbon/S electrode reveals that isotropic strain contributes significantly to peak broadening. It results in a crystal size of about 12.8 nm, compared to 8.9 nm obtained from the Scherrer equation (Supplementary Fig. 5). Spherical ~10 nm single crystal particles should, in a first approximation, cause a broad SAXS intensity shoulder around 0.5 nm–1 (Supplementary Fig. 6). However, neither the high-q (1.5 nm–1) nor the low-q (0.2 nm–1) relative SAXS intensity maximum relates to this primary Li2S crystallite size, instead indicating features of approximately 2.8 nm and 26 nm, respectively (Supplementary Fig. 6).
To verify whether the features seen in the SAXS/WAXS data are specific to our selected materials and operating conditions, we galvanostatically discharge a sulfur / carbon-based electrode in a 1 M LiTFSI / TEGDME:DOL (1:1 vol.%) electrolyte solution at three different currents (Supplementary Fig. 2). For all currents, we find a 6 – 7 nm Li2S crystallite size from the WAXS diffraction peak fitting (Scherrer) and a high q relative SAXS intensity maximum between 1 and 2 nm–1. Primary Li2S crystallite formation can therefore not be explained by classical nucleation and continuous growth46,47, which would result in a crystallite size that strongly depends on current.
On the other hand, the low q intensity maximum depends on the applied current (Supplementary Fig. 2). With increasing current, the intensity shifts to higher q-values (from ~0.1 nm−1 at 1.23 mA cm−2 to «0.08 nm−1 at 0.12 mA cm−2). We therefore attribute our low q feature to aggregates comprising of smaller primary Li2S crystallites. At higher current, we have more, smaller aggregates, which is in principle consistent with heterogenous nucleation and growth48.
These SAXS/WAXS findings are in line with experimental data previously discussed in the literature. Independently of the used electrode materials, electrolyte solutions or applied current13,15,16,26,42,48, the Li2S primary crystallite size has been shown to remain around 10 nm. Size and shape of the super-structures (aggregates) on the other hand, are very sensitive to the used electrolyte and conditions such as current density11,15,16,48. A feature similar to our signal at low-q was also observed using small angle neutron scattering41,42. Finally, the Li2S deposits observed via ex situ SEM measurements are known to be larger than the primary crystallite size estimated by XRD measurements (in situ and ex situ) via the Scherrer equation or a Williamson-Hall plot15,16.
New in this work is the identification of the high-q SAXS intensity maximum corresponding to a feature with ~2.8 nm diameter, which is not Li2S. Understanding the origin of this feature can provide the missing piece of the puzzle in quantifying Li2S formation and dissolution.
Physicochemical investigations on the solid Li2Sx (2 ≤ x ≤ 4) precipitates
The size of Li2S crystallites of ~10 nm cannot explain the high-q SAXS intensity shoulder around 1.5 nm−1. The high-q feature disappears when washing (with 2 G) under inert conditions (Argon atmosphere) and drying the discharged electrode under vacuum; the Li2S diffraction peak remains (Fig. 3a, b). Without washing, both the high-q SAXS shoulder and the Li2S diffraction peak remains. This suggests that the high-q SAXS feature is caused by a polysulfide structure that is partially soluble and can be washed away. Li2S2 powder formed by drying a solution with nominal Li2S2 stoichiometry in tetrahydrofuran (THF) solvent shows the same SAXS feature at a similar q-position. Ex situ Raman spectroscopy measurements of a potentiostatically discharged and washed (2 G) glassy carbon electrode indicates Li2S, but also a short-chain PS (Li2S2, Li2S3 or Li2S4) and less Li2S6/S3– (Fig. 3c)23,49. Instead of the carbon black, we used a glassy carbon electrode because of the lower absorbance and a better signal-to-noise ratio. In Supplementary Fig. 7 we show reference spectra of S, Li2S and solid PSs with nominal Li2S2 and Li2S4 stoichiometry. Nominal Li2S2 (Supplemenatry Fig. 7) shows similar peaks like the discharged electrode at 373 cm−1 (Li2S), 440 cm−1 (Li2S2) and 534 cm−1 (S3–, Li2S6)23,49; the 440 cm−1 peak of the discharged electrode is however too broad to unequivocally assign it to Li2S2.
Amorphous Li2S causing the high SAXS intensity shoulder can be excluded. First, we could not wash it away, as shown in Fig. 3a. Second, the qB intensity should drop immediately during charge, similar to the Li2S (220) diffraction peak (Fig. 2f).
We conclude that the high-q SAXS shoulder originates from Li2Sx (2 ≤ x ≤ 4) nanoparticles with a mean diameter ~2.8 nm. Considering the small particle size and the potential isotropic strain, the Li2Sx WAXS diffraction peaks are broad and indistinguishable from the background. The small size and isotropic strain might also explain the large peak widths in the Raman spectra50. S3– (or Li2S6 in its associated form) could stem from Li2S4 disproportionation (2S42– → S22– + S3–, or 2Li2S4 → Li2S2 + Li2S6, in the associated form). The same disproportionation to Li2S2 and S3– is indeed found in a solution of Li2S4 in 2 G and in previous works49,51 (Fig. 3c).
TEM measurements of Li2S/Li2Sx films electrodeposited on a C/Au TEM grid, gives further evidence for the co-existence of the two solid discharge products: nanocrystalline Li2S and nanoparticulate, amorphous Li2Sx (Fig. 3d–f). The TEM images show ~6 nm large Li2S crystals, embedded in a matrix of amorphous material, which is likely Li2Sx. The fast Fourier transformation (FFT) image indicates peak positions that fit to a d-spacing of 0.205 nm. This d-spacing can be assigned to the (220) plane in Li2S.
Development of a structural model to interpret SAXS and SANS intensities
Our experiments (SAXS/WAXS, SEM, TEM, Raman) suggest that discharging a Li-S battery positive electrode results in a composite structure consisting of solid Li2S and short-chain Li2Sx particles (2 ≤ x ≤ 4). The solid Li2Sx particles are responsible for the SAXS feature in region qB in Fig. 2d and have a mean size around 2.8 nm. The ~10 nm Li2S crystallites (as shown in the WAXS measurements and analyses) aggregate to form features with a mean size (diameter) around 26 nm (region qA SAXS). These polycrystalline aggregates arrange into the larger structures >100 nm as shown in the SEM micrographs (Fig. 1c). During charge, the aggregates first dissolve into primary Li2S and Li2Sx particles. Li2Sx dissolution is lagging behind Li2S dissolution during the entire charge (in Fig. 2f, the low-q maximum disappears faster than WAXS diffraction peaks and high-q shoulder).
Given the low solubility of Li2S252, previous studies have speculated whether solid Li2S2 is present as a second discharge product in Li-S batteries, but so far it has not clearly been observed experimentally22–25. Discussions about the existence of Li2S2 are mostly based on electrochemical data, its stability predicted by DFT or the fact that operando absorption spectroscopy typically finds a mixture of Li2S and dissolved short-chain PSs at the end of discharge23,28,53,54. However, a direct structural or spectroscopic evidence for Li2S2 as a second, solid discharge product is still missing55. The low solubility of Li2S2, the similarity between Li2S2 reference spectrum (Supplementary Fig. 7) and discharged electrode (Fig. 3c), and the disproportionation of Li2S4 to form Li2S2 (see Fig. 3c and Ref. 51.) all suggest that our observed solid short-chain PS phase is Li2S2. To validate this and gain further quantitative insights into the structural evolution of the Li2S/Li2S2 nanostructure, we now analyze equivalent operando SANS experiments during potentiostatic discharge/charge using a deuterated 2 G solvent. Compared to SAXS, the materials contrast of Li2S and Li2S2 is improved with SANS (Fig. 4a, Supplementary Table 1). Further, the deuterated catholyte (0.5 M Li2S8 + 1 M LiTFSI + 0.4 M LiNO3 in deuterated 2 G) minimizes the carbon scattering contribution due to similar scattering length density (SLD) of carbon and catholyte (see Supplementary Note 2 and Supplementary Fig. 8). To avoid the contribution of the electrolyte structure factor and the incoherent background, we subtract the SANS contribution prior to discharge from all operando data obtained (see the Methods section for further details). The background-corrected operando SANS intensities during potentiostatic discharge/charge indeed show large intensity changes, entirely attributed to Li2S/Li2S2 formation (Fig. 4b, c).
The concept of plurigaussian random fields40,56 (PGRF) is used to fit the operando SANS data and to create a stochastically representative three-phase Li2S / Li2S2 / electrolyte structure in real-space (see the Methods section for further details). By fitting the SANS intensities during potentiostatic discharge at 2.0 V (Fig. 4b) an during potentiostatic charge at 2.45 V (Fig. 4c), we extract parameters for (i) the feature sizes of Li2S and Li2S2, (ii) the respective volume fractions of Li2S and Li2S2, and (iii) a parameter accounting for the spatial correlation between the Li2S and Li2S2 structures (Supplementary Table 2). All SANS model fits are given in Supplementary Fig. 9. The parameter (δ, see Methods and Supplementary Fig. 10) defines whether Li2S2 particles are preferably located close to the Li2S surface (δ → 0°) or randomly distributed across cavities that form amongst the Li2S particles (δ → 90°). The value of δ = 70° shows that Li2S2 particles are distributed nearly randomly across the cavities, only with a slight preference to occur in proximity to the Li2S crystallites. With these parameters, we generate a 3D representation of the Li2S/Li2S2 nanostructure on a 3D lattice after full discharge (Fig. 4d, corresponding to model fit in Fig. 4b) and during charge (Fig. 4e, corresponding to model fit in Fig. 4c). These visualizations highlight the smaller size of Li2S2 particles compared to Li2S particles, the nearly uniformly distributed Li2S2 across the Li2S cavities, and the mean aggregate size of ~26 nm at the end of discharge. During charge the Li2S aggregate size decreases steadily, while the Li2S2 particle size increases. Similar results have been obtained from a PGRF model fit using operando SAXS (Supplementary Fig. 11). Due to the non-negligible carbon scattering contribution in carbon black electrodes, the Li2S/Li2S2 model fits for SAXS were carried out using electrodes with larger glassy carbon beads with an otherwise same cell configuration. The large size of the glassy carbon beads (>5 µm) ensures that their SAXS scattering contribution is negligible.
While operando SANS has advantages in terms of contrast, operando SAXS has a higher time resolution. In Fig. 4f, g, we compare the relative SAXS intensity changes and the operando SANS fit parameters as a function of time. Fig. 4g shows the normalized Li2S/Li2S2 deposit volume as obtained from the time-dependent PGRF model fits. The deposit volume grows fast at initial stages of discharge before it reaches a plateau, and decreases during charge. During initial states of charge, Li2S2 particles grow (see lZ, Fig. 4g), while the Li2S aggregates dissolve into their primary crystals (see decrease of lY, Fig. 4g). This explains the high-q maximum shifting to smaller q in the relative SAXS intensity plot (Fig. 4f). Li2S2 dissolution lags behind Li2S dissolution during the entire charge, shifting relative volume fractions towards Li2S2. All operando SANS fit parameters are shown in Supplementary Fig. 12.
In summary, the SAXS/WAXS data in Fig. 2, Supplementary Fig. 2, Supplementary Fig. 11, the SANS data in Fig. 4, and the TEM micrographs in Fig. 3 all suggest the presence of nanocrystalline Li2S and a second solid discharge product, such as Li2S2. These findings are therefore valid for a broad range of E/S ratios, S mass loadings, applied currents and carbon hosts (experimental parameters of all investigated systems are summarized in Supplementary Table 3).
Physicochemical investigations on the Li2S formation via Li2S2 precipitation and solid-state conversion
The found Li2S/Li2S2 composite structure is not compatible with a simple step-wise electroreduction of polysulfides at the carbon|electrolyte interface. Instead, the structural features point to species in the electrolyte supporting growth. This could be Li2S if it redissolves (Li+, S2–) and precipitates after having formed by direct reduction at the carbon; however, the low solubility of Li2S15 suggests that dissolved Li+ and S2– could only form small Li2S crystallites (<10 nm) on or in close proximity to the carbon surface, leading quickly to a passivating surface film21. Alternatively, the aggregate superstructures could be formed by precipitation of Li2S2, which has a higher solubility than Li2S. Li2S could then be formed via solid-state electroreduction. The latter requires sufficiently facile ambipolar transport (Li+ and e–) in the solid state.
We next investigate whether the Li2S2 reduction to form Li2S can in principle occur in the solid state and fast enough to occur during battery discharge. We rolled crystalline solid sulfur onto a piece of Li metal (without any liquid electrolyte added) in a molar ratio of 1:2 under Ar atmosphere and recorded the XRD pattern of the resulting mixture from 3 to 20 h after mixing (Fig. 5a, details see Methods). The crystallite size obtained from the diffraction peak widths remained relatively constant with increasing reaction time and similar to the Li2S size obtained from electrochemical discharge (Fig. 5b). This suggests that in Li-S batteries with non-aqueous liquid electrolytes, the Li2S during cell discharge is formed by a similar solid-state conversion process as seen in Fig. 5. The experiment further shows that solid S can convert into Li2S within a few hours only, despite mean Li diffusion pathways of more than 50 µm. With the same conversion rate, a 1 µm thick S film could be converted to Li2S in less than an hour. This is significantly faster than the ionic and electronic conductivities of Li2S suggest57. Transport at the nanocrystal interfaces and grain boundaries might be enhanced significantly.
Ex situ Raman spectroscopy measurements (Fig. 3c) indicates the tendency of Li2S4 (S42–) to disproportionate into Li2S2 (S2–) and Li2S6 (S3–). Li2S formation in Li-S batteries can thus be explained as a combination of Li2S2 precipitation from solution via Li2S4 disproportionation (and/or Li2S4 electroreduction) and a solid-state reduction to Li2S (Eq. 1).
1 |
with DISP meaning disproportionation and COMP meaning comproportionation. The processes in Eq. 1 are illustrated in Fig. 6. Solution-mediated Li2S4 disproportionation, Li2S2 precipitation, and subsequent solid-state reduction explain why Li2S deposits do not passivate the carbon surface at the positive electrode16,58, even though the low Li2S solubilities would imply so15,21,59. Li2S2 precipitation from solution can cause a variety of shapes (e.g. platelets15,16) and sizes beyond several 100 nm, where the primary Li2S crystal size (as observed by XRD measurements) is constantly around 10 nm. We believe that the Li2S crystallite size is limited because of the large mechanical stress that evolves when Li2S forms in a solid matrix with higher density, such as Li2S2. Upon phase transformation, the expansion to Li2S would be suppressed. Further, Li2S2 precipitation from solution explains why Li2S/Li2S2 aggregate size and shape depend strongly on current48 and solvent15, while the Li2S primary crystallite size does not.
Solid-state electroreduction from Li2S2 to Li2S requires fast enough ambipolar Li+ and e– solid-state transport. Theoretical works suggest that solid polysulfides such as Li2S2 have indeed slightly higher electronic conductivities compared to Li2S or S55,60. For a specific Li2S2 nanostructure, the high surface area and the richness of defects further increase the diffusivity compared to bulk crystalline Li2S261. We speculate that during solid-state conversion Li+ ions diffuse through the porous deposits to the carbon|electrolyte interface. The Li2S2 reduction takes place at triple-phase boundaries (Li2S2, carbon, electrolyte). Sufficiently fast chemical diffusion (Li0) via the Li2S2 nanostructure and Li2S2 surfaces (or grain boundaries) convert the Li2S2 structure into Li2S.
Charging reverses the processes shown in Fig. 6. While Li2S aggregates dissolve steadily, solid Li2S2(s) particles grow at initial stages of charge, as seen in Fig. 4g and qualitatively based on the shift of the high-q SAXS maximum in Fig. 4f. Additional Li2S2(s) could be formed from oxidizing solid Li2S, and due to the increased concentration of dissolved Li2S4 which feeds into the disproportionation reaction (Eq. 1) to form Li2S2.
Alternative to electroreduction, the final solid-state step during Li-S discharge could also be solid-state disproportionation, for example, via the reaction . Li2S4 would then form solid Li2S2 via the disproportionation reaction in Eq. 1, , resulting in the composite Li2S/Li2S2 structure shown in Fig. 4.
Discussion
In conclusion, we provide direct experimental evidence that next to solid Li2S crystallites, smaller solid short-chain Li2Sx particles are formed upon discharge in non-aqueous Li-S batteries with liquid electrolyte solutions. We demonstrate that these particles are likely Li2S2. The particles are small (~2.8 nm), amorphous and thus only visible in SAXS/SANS (the peak broadening is too large to detect them with XRD/WAXS). During charge, the Li2S2 particles initially grow while Li2S disappears. The behavior is consistent with Li2S2 precipitation from solution and subsequent solid-state conversion to form Li2S crystals. Next to electroreduction at the carbon-electrolyte interface, Li2S2 is likely formed via disproportionation from Li2S4.
Converting Li2S2 to Li2S (i.e. S22– → S2–) accounts for half of the theoretical capacity of Li-S cells and is – as we propose – a solid-state process. Electroreduction of dissolved Li2S2 would lead to a fast coverage of the entire carbon surface at the positive electrode and poor electrochemical energy storage behaviour. Hence, the final solid-state conversion is either a solid-state reduction or solid-state phase separation (disproportionation). There are two arguments speaking for solid-state electroreduction from Li2S2. First, solid-state S to Li2S conversion can be fast (as shown in Fig. 5). Second, the Li2S crystallite size limited to around 10 nm (independent of electrolyte, current, and formation mechanism) could be explained by Li2S formation in a solid matrix of denser Li2S2, which would mechanically confine and stress the system.
Since the morphology at larger length scales (as seen by SEM measurements) is determined by solution-mediated Li2S2 precipitation, the deposits remain porous and guarantee access to the carbon|electrolyte interface16,58. This means that discharge capacity of a Li-S battery cathode is limited by mass transport16,17 rather than electron transport through a passivating surface film11. Theoretical sulfur capacities may never be achieved as a certain amount of short-chain PSs (Li2S2, Li2S4) remains in solution and/or as a second solid phase. Chemical diffusion (of Li0, i.e. Li+ and e–) through the solid-state Li2S2 might further decide how much Li2S2 can be interconverted to Li2S. This depends both on solid-state transport and the length of diffusion pathways determined by the Li2S2 morphology. The Li2S/Li2S2 structure formation thus defines achievable Li-S capacities.
Given the known relation between electrolyte solvation and Li2S aggregate morphology13,15 (i.e., Li2S nucleation and growth), we believe that solvation energies influence, on the one hand, Li2S2 crystallization in terms of nucleation and size/shape, of which the Li2S/Li2S2 deposits form replicas. On the other hand, the electrolyte determines the redissolution and diffusion of the dissolved PSs, which is critical for approaching theoretical capacities. More broadly, the solid-state reduction mechanism from Li2S2 to Li2S indicates solid-state S conversion to be sufficiently facile, despite the poorly conducting nature of Li2S. This implies that solid-state S-to-Li2S conversion (SSC) is possible at practical rates if S/Li2S structures are properly engineered, which is a very important message for all Li-S design strategies seeking to avoid the polysulfide shuttling problem by utilizing SSC, but so far struggled to convert practical S amounts.
Next to electron microscopy, electrochemical methods and Raman spectroscopy, the essential tools for these insights are operando SAXS/WAXS, operando SANS with contrast matching, and advanced data analysis using stochastic modeling. We show that the combination of these techniques offers unique quantitative structural insights into the complex Li2S/Li2S2 composite structure, at length scales hardly accessible to other methods. In this study, SAXS/WAXS and SANS were particularly useful because of the integral structural information, the sensitivity for both crystalline and amorphous solids, and the ability to study the nanoscale structure under practical conditions in an operando cell. The example of Li2S/Li2S2 deposition demonstrates the power of operando SAXS/SANS and stochastic modelling to clarify mechanisms in complex energy materials more generally and that seamless structural information from atomic to nanometer scale holds key to important mechanistic detail.
Methods
Materials
As cathode material we used a carbon black (Ketjenblack, EC-600JD, ANR Technologies) with a specific surface area (evaluated via Brunauer-Emmet-Teller method) of 1400 m2 gC–1, a primary particle radius of around 34 nm, and a metal impurity content of <30 ppm. The free-standing film electrodes were prepared by mixing carbon with polytetrafluoroethylene (PTFE, 60 mass% suspension in water, Sigma Aldrich) at 90/10 mass ratio with isopropanol (≥ 99.8 %, Sigma Aldrich). The mixing of 10 min was done by hand in a mortar and in air at a constant temperature of 25 °C. The resulting dough-like material was rolled to a 60 ± 10 µm thick film, washed in acetone (≥99.5%, Sigma Aldrich) / H2O (18 MΩcm) mixture and finally dried at 120 °C under vacuum (10 mbar) overnight. Because of the lower neutron absorption, the positive electrodes for SANS measurement were rolled to a thickness of 180 µm. As catholyte we used a solution of 0.5 M Li2S8 + 1 M lithium bis(trifluoromethane)sulfonimide (LiTFSI, 99.95% trace metals basis, Sigma Aldrich) + 0.4 M lithium nitrate (LiNO3, 99.99% trace metals basis, Sigma Aldrich) in diethylene glycol dimethyl ether (2G, anhydrous, 99.5%, Sigma Aldrich). In Supplementary Fig. 2 we show operando SAXS/WAXS data using a sulfur infiltrated carbon black cathode (ENSACO 350 G, Imerys, specific surface area of 770 m2 gC−1, metallic impurities <10 ppm, sulfur content <150 ppm) with a solution of 1 M LiTFSI + 0.1 M LiNO3 in 1:1 (v:v) 1,3-dioxolane (DOL, anhydrous, 99.8%, Sigma Aldrich) + tetraethylene glycol dimethyl ether (TEGDME, ≥ 99%, Sigma Aldrich) as electrolyte. The ENSACO 350 G carbon/sulfur composite was prepared in a C:S = 1:2 mass ratio by melt infiltration at 155 °C in a tubular quartz tube furnace under Ar atmosphere at 1 bar (Ar flow of 100 ml min−1). The positive electrodes were prepared by mixing the carbon/sulfur composite, the polymer binder polyvinylidene fluoride (PVdF, Sigma Aldrich, average MW 534000), conductive additive carbon black Printex XE2 (Degussa) in a mass ratio of 80:10:10. The mixture was dissolved in N-methyl pyrrolidone (NMP, Aldrich) and ball milled for 30 min at 300 rpm to obtain a homogeneous slurry. The slurry was then cast on a carbon-coated Al foil (Armor, France) with a doctor blade applicator with a wet thickness of 200 μm. The coated slurry was dried at 50 °C overnight. Electrodes with a diameter of 16 mm were punched out the next day and transferred to an argon-filled glovebox. All solvents were used as received and dried under freshly activated Molecular Sieves (type 4 Å) to achieve H2O concentrations <30 ppm. All salts were dried at elevated temperature (90 °C) and reduced pressure (10 mbar).
The Li2S8 powders were synthesized by mixing a stoichiometric amount of elemental sulfur (powder, 99.98% trace metals basis, Sigma Aldrich) and lithium metal as received (110 µm thick Li foil, high purity, FMC Lithium corporation) in excess of dried tetrahydrofuran (THF, anhydrous, ≥99.9%, inhibitor-free, Sigma Aldrich; the THF was dried in a multistep process using Al2O3, molecular sieves, and distillation, after which the water content was measured by Karl Fischer titration (Mettler Toledo, C20) and kept below 2 ppm). The synthesis procedure was conducted in an argon-filled dry box with controlled levels of water and oxygen content (below 0.1 ppm). The mixture was stirred at slightly elevated temperatures (50 °C) until all the reactants dissolved. THF was then removed under reduced pressure (10 mbar) to obtain dry polysulfide powders. The Li2S2 and Li2S4 powders shown in Supplementary Fig. 7 were prepared equivalently, by mixing Li and S in the right stoichiometry. The commercial Li2S in Supplementary Fig. 7 was purchased from Sigma Aldrich (99.98% trace metals basis).
The solid mixture of S and Li in Fig. 5 was prepared by embedding solid S particles in a solid sheet of Li metal in a Li/S molar ratio of 2:1. First, S crystals (99.98% trace metals basis, Sigma Aldrich) were manually crushed with mortar and pestle (Agate stone) for 10 min under dry conditions in an Argon filled glovebox (H2O < 0.1 ppm, O2 < 3.0 ppm), to end up with a fine S powder (particle size ~ 50 µm). Then, the S powder was rolled onto a thin piece of Li metal (≥99.9%, Alfa Aesar, 0.75 mm thickness) using a rolling bar on a glass plate in inert atmosphere (H2O < 0.1 ppm, O2 < 3.0 ppm). The rolling was continued for ~5 min until the S was embedded inside the Li metal sheet and the Li/S piece was turning brittle.
Experimental
E/S ratios, sulfur mass loadings, and electrode masses for all operando SAXS/WAXS and SANS measurements are summarized in Supplementary Table 3.
Operando SAXS/WAXS and XRD measurements were carried out with a commercial two-electrode electrochemical operando scattering cell (BatterycellSAXS, Anton Paar, Austria). We used polytetrafluoroethylene (PTFE) X-ray windows due to their chemical stability and relatively low background in the SAXS regime. The small diameter of the windows (2 mm) ensures a relatively equal pressure distribution across the cell assembly. It consisted of a Li metal anode (≥99.9%, Alfa Aesar, 0.75 mm thickness, 16 mm diameter), a polypropylene separator (Celgard 2400, 25 µm thickness, 41% porosity), a Freudenberg separator (FS 2225E, polyolefin, thickness 150 µm, electrolyte absorption 130 g m−2), a carbon black cathode (diameter of 7 mm, the thickness of 60 ± 5 µm), and an Aluminium grid current collector (Type 901 A, the expanded metal company, 0.3 mm thick, 12 mm diameter, 3.18 × 1.81 mm mesh size). The X-ray beam irradiates all cell materials; reversible and significant structural changes are only detected in the cathode. A Biologic SP240 potentiostat/galvanostat was used for electrochemical cycling.
Operando SAXS/WAXS measurements were carried out on the Austrian SAXS beamline at the Synchrotron ELETTRA62 (Trieste, Italy) using an X-ray wavelength of 0.154 nm and a Pilatus 1 M SAXS and Pilatus 100 K WAXS detector (Dectris, Switzerland) at a temperature of 25 ± 3 °C. During potentiostatic discharge/charge measurements, SAXS and WAXS patterns were collected with 1 s exposure time (to avoid radiation damage) and 60 s period (to avoid large amounts of data). We discharged the cell partially at 2.0 V vs. Li/Li+ for 2.5 h (giving a capacity of 1520 mAh gC–1) and charged it at 2.45 V vs. Li/Li+ for maximum 2.5 h (to reverse the capacity of 1520 mAh gC–1). Operando SAXS data shown in Supplementary Fig. 2 were recorded on a laboratory SAXS/WAXS instrument (SAXSpoint 2.0, Anton Paar, Austria) with an EIGER2 R 1 M area detector (Dectris, Switzerland) and a time resolution of 5 min. All recorded SAXS patterns were azimuthally averaged and normalized by transmission values. The SAXS background intensity was recorded separately for each cell after removing the cathode. The averaged and normalized background intensity was then subtracted from all recorded operando SAXS curves. The azimuthally averaged 2D operando WAXS data were corrected by subtracting the WAXS intensity prior to discharge (at OCV).
The Scherrer crystallite size in Fig. 2g was obtained from a Lorentzian peak fit and using the Scherrer equation with the shape factor , the wavelength , the full width half maximum (FWHM) of the peak, and half of the scattering angle. The mean qB value und thus the q-shift in Fig. 2g was obtained by numerical integration in the qB region:
Operando SANS measurements during potentiostatic discharge/charge were performed on the D-22 small angle neutron scattering beamline at the ILL neutron source (Grenoble, France) using a wavelength of 0.5 nm, a beam diameter of 10 mm, and two areal detectors with a sample-to-detector distance of 17.6 m and 1.4 m to achieve an overlapping q-region63. The measurements were conducted at a temperature of 25 ± 3 °C The custom-built two-electrode operando SANS cell has a similar cell design like the SAXS cell, however, the X-ray windows are replaced by 12 mm aluminum windows. The aluminium guarantees low background and uniform pressure across the cell assembly. The cell consisted of a copper foil current collector (≥99.9%, Schlenk Metallfolien), a Li metal anode (≥99.9%, Alfa Aesar, 0.75 mm thickness, 16 mm diameter), a glassfibre separator (Whatman GF/A, 21 mm diameter, 260 µm thickness, 1.6 µm pore size), a carbon black cathode (13 mm in diameter, 180 µm thick), and an aluminum current collector (≥99.5%, Korf). The neutron beam irradiated all the cell materials; reversible and significant structural changes are only detected on the cathode. The recorded 2D detector intensity signal was acimuthally averaged, corrected for sample holder scattering and electronic background, and normalized by transmission values.
Scanning Electron Microscopy (SEM) images were collected with a Hitachi SU-8200 at 5.0 kV acceleration voltage using a secondary electron detector. Ex situ XRD (and SAXS) measurements (Fig. 3a, b, Fig. 5, Supplementary Figs. 3, 5) were carried out on a Rigaku SmartLab 9 kW System, with rotating Cu anode and 2D solid state detector (HyPix-3000 SL). Raman spectroscopy was carried out on a NT-MDT NTEGRA Spectra with a 561 nm laser. The system is equipped with a Newton Andora CCD detector and a diffraction grating of 1800 gr/mm. Discharged positive electrodes for ex situ measurements (SAXS, XRD, Raman) were prepared by opening cell inside our Ar-filled glovebox (H2O < 0.1 ppm, O2 < 3 ppm), washing them with 500 µL of diethylene glycol dimethyl ether (2 G, anhydrous, 99.5%, Sigma Aldrich) and subsequent drying under reduced pressure (10mbar). To ensure air-free transport and ex situ measurements, also the ex situ SAXS/XRD samples were measured inside the SAXS operando cells. Raman samples were prepared in an Ar filled glovebox (H2O < 0.1 ppm, O2 < 3 ppm) on a silicon wafer substrate (Si 100 ± 1° orientation, 500 µm thick, p-type Boron doped, 1 – 10 Ωcm), covered with Mylar foil (SpectroMembrane, ChemPlex Industries, XRF thin-film window, polyethylenterephtalat, 3.6 µm thickness, 30 mm diameter), and sealed with an adhesive tape (Tesa).
The TEM sample was prepared by discharging a 5 µL catholyte (0.1 M Li2S4 + 0.1 M LiTFSI in 2 G) with a constant current of 0.5 µA on a 400 Au mesh pure C film carbon TEM grid (TedPella, 400 mes Au grid, 25 nm pure carbon film) using a polypropylene separator (Celgard 2400, 25 µm thickness, 41% porosity), and a Li metal anode (≥99.9%, Alfa Aesar, 0.75 mm thickness, 16 mm diameter) in our laboratory coin-cell-type cells (uniaxial pressure of 0.7 ± 0.1 MPa). After discharge the grid was washed with 2 G in a glovebox (Argon, O2 and H2O < 0.1 ppm) to remove residual polysulfide and salts. To ensure air-free transport to the TEM, the grid was placed in a Gatan 648 double tilt vacuum holder. The HR-TEM images (Fig. 3a–c) were captured on an aberration-corrected JEOL Grand ARM (ScopeM, ETH Zürich) operated at 300 kV. The electron dose was kept at a minimum to prevent electron beam induced damage to the sample.
Operando SANS data modelling via plurigaussian random fields
The SAXS/SANS intensity of the discharged cathode can be split into three terms,
2 |
The first term corresponds to the scattering contribution of the Li2S / Li2S2 structure, the second term to the scattering contribution of the electrolyte-filled carbon structure and the third background term to the constant (low-q) intensity of electrolyte (and carbon) atomic structure factor. Correlations between carbon black and the Li2S / Li2S2 structure can generally not be neglected. Only if the carbon structures are much larger than the Li2S/Li2S2 deposit structure or if the scattering length density contrast between carbon and electrolyte is zero, the carbon contribution is small and can be simply subtracted or neglected. This is done for SAXS experiments using large glassy carbon beads (see Supplementary Fig. 11) and SANS experiments with deuterated electrolyte to match the scattering length density of the carbon (see Supplementary Table 1 and Supplementary Note 2).
To separate the SANS intensity of the Li2S / Li2S2 structure we subtract and BG (the incoherent background), i.e., the SANS intensity measured prior to discharge at OCV.
The SANS intensity of the Li2S / Li2S2 nanostructure (Fig. 4a) can be written as
3 |
with being a constant that depends on instrumental parameters, such as detector efficiency and irradiated sample volume, and the relative volume of the deposited Li2S / Li2S2 nanostructure. The first power law term stems from the large Li2S (Li2S2) agglomerates beyond 100 nm (see SEM images in Fig. 1c. Given their large expansion, the SANS intensity in the measured q range is proportional to (Porod decay). The second term accounts for the Li2S / Li2S2 nanostructure in the size regime between 1 to 50 nm and is modelled via plurigaussian random fields, as described further below. The least square error sum is minimized by particle swarm optimization64 with reasonable parameter constraints.
The reduced operando SANS data is modelled using the concept of plurigaussian random fields (PGRF)56. This allows deriving 3D real space models of the solid Li2S / Li2S2 nanostructure at different stages of discharge and charge (Fig. 4). A detailed description of the PGRF method is given by Gommes et al.56.
The SANS intensity is the Fourier transform of the scattering length density (SLD) correlation function
4 |
for our three-phase system consisting of phases Li2S, Li2S2, Electrolyte (EL) can be written as
5 |
Here, is the scattering length density, the volume fraction and the two-point correlation function of phase .
Using clipped Gaussian random fields, a 3D model of a two-phase nanopore structure can be generated from a fit to the experimental SANS intensity of the structure65–68. Plurigaussian random fields combine two Gaussian random fields to model SANS intensities and 3D real space structures of three-phase systems. A Gaussian random field is the sum of cosine waves with wave vector lengths distributed according to their power spectral density and phase factors randomly distributed between 0 and 2 55,65,69,70.
6 |
A possible analytic two-point correlation function of the GRF is68
7 |
with being a correlation parameter related to the mean size of the structure and a parameter accounting for ordering effects via the second oscillation term. The corresponding power spectral density is
8 |
We now define the threshold values for the Gaussian distributed values to generate a two-phase porous structure from the GRF. All spatial coordinates with are assigned to the pore space (i.e. phase Li2S2 + EL); all other coordinates to the Li2S skeleton. The two threshold values are related to the Li2S volume fraction via:
9 |
To model the real space structure and SAXS intensity of the three-phase system, a second independent GRF is generated using the same correlation function (Eqs. 7–8) but different input parameters and (Supplementary Fig. 10c). The Li2S2 phase with the volume fraction is obtained by cutting and based on Eq. 10 (and the cut-offs visualized in Supplementary Fig. 10).
10 |
The two-point correlation function of the Li2S2 phase is calculated via
11 |
with being the bivariate Gaussian distribution with mean 0, variance 1, and covariance g. The two-point correlation function of the Li2S phase is calculated equivalently. are obtained via Hermite polynomials as described in Gommes et al.56. The angle and the Li2S4/EL boundary line in Supplementary Fig. 10d–f, defines the morphology of the Li2S2 phase. For , the Li2S2 phase will perfectly cover/wet the Li2S phase in form of a thin film (Supplementary Fig. 10d, g). In contrast, for an Li2S2/EL boundary parallel to the Y-axis (), the Li2S2 (EL) structure inside the Li2S cavities is statistically independent from the Li2S structure (Supplementary Fig. 10f, i). Inserting Eq. 11 into Eqs. 4–5 gives the corresponding scattering intensities (Fig. 4).
Reporting summary
Further information on research design is available in the Nature Research Reporting Summary linked to this article.
Supplementary information
Acknowledgements
This project has received funding from the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant NanoEvolution, grant agreement No 894042. The authors acknowledge the CERIC-ERIC Consortium for the access to the Austrian SAXS beamline and TU Graz for support through the Lead Project LP-03. Likewise, the use of SOMAPP Lab, a core facility supported by the Austrian Federal Ministry of Education, Science and Research, the Graz University of Technology, the University of Graz, and Anton Paar GmbH is acknowledged. In addition, the authors acknowledge access to the D-22 SANS beamline at the ILL neutron source. Electron microscopy measurements were performed at the Scientific Scenter for Optical and Electron Microscopy (ScopeM) of the Swiss Federal Institute of Technology. C.P. and J.M.M. thank A. Senol for her support with the SANS beamtime preparation. S.D.T, A.V. and R.D. acknowledge the financial support by the Slovenian Research Agency (ARRS) research core funding P2-0393 and P2-0423. Furthermore, A.V. acknowledge the funding from the Slovenian Research Agency, research project Z2−1863. S.A.F. is indebted to IST Austria for support.
Author contributions
C.P. carried out operando x-ray and neutron scattering, electrochemical and electron microscopy experiments, the corresponding data analysis and the stochastic modelling. J.M.M. carried out operando neutron scattering, Raman spectroscopy and transmission electron microscopy measurements. S.D.T. and A.V. provided carbon/sulfur composites and polysulfide powders. H.A. supported SAXS measurements, L.P. SANS measurements. C.P., S.A.F. and V.W. conceptualized the work. C.P. wrote the initial version of the manuscript. C.P., J.M.M., S.D.T., A.V., R.D, H.A., L.P., S.A.F. and V. W. contributed to results interpretation and revising the manuscript.
Peer review
Peer review information
Nature Communications thanks the other anonymous reviewer(s) for their contribution to the peer review of this work. Peer review reports are available.
Data availability
The SANS data generated in this study have been deposited in the ILL database under 10.5291/ILL-DATA.1-04-221. All other data generated in this study are provided within the article and the Supplementary Information file, or are available from the corresponding author C.P. upon request.
Code availability
The IgorPro (Wavemetrics) code used for SANS data fitting and stochastic modeling are available from the corresponding author C.P. on request.
Competing interests
The authors declare no competing interests.
Footnotes
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Contributor Information
Christian Prehal, Email: cprehal@ethz.ch.
Stefan A. Freunberger, Email: stefan.freunberger@ist.ac.at
Vanessa Wood, Email: vwood@ethz.ch.
Supplementary information
The online version contains supplementary material available at 10.1038/s41467-022-33931-4.
References
- 1.Choi JW, Aurbach D. Promise and reality of post-lithium-ion batteries with high energy densities. Nat. Rev. Mater. 2016;1:16013. [Google Scholar]
- 2.Bresser D, Passerini S, Scrosati B. Recent progress and remaining challenges in sulfur-based lithium secondary batteries – a review. Chem. Commun. 2013;49:10545–10562. doi: 10.1039/c3cc46131a. [DOI] [PubMed] [Google Scholar]
- 3.Pang Q, Liang X, Kwok CY, Nazar LF. Advances in lithium–sulfur batteries based on multifunctional cathodes and electrolytes. Nat. Energy. 2016;1:16132. [Google Scholar]
- 4.Bruce PG, Freunberger SA, Hardwick LJ, Tarascon J-M. Li-O2 and Li-S batteries with high energy storage. Nat. Mater. 2012;11:19–29. doi: 10.1038/nmat3191. [DOI] [PubMed] [Google Scholar]
- 5.Borchardt L, Oschatz M, Kaskel S. Carbon Materials for Lithium Sulfur Batteries—Ten Critical Questions. Chem.: Eur. J. 2016;22:7324–7351. doi: 10.1002/chem.201600040. [DOI] [PubMed] [Google Scholar]
- 6.Urbonaite S, Poux T, Novák P. Progress Towards Commercially Viable Li–S Battery Cells. Adv. Energy Mater. 2015;5:1500118. [Google Scholar]
- 7.Wild M, et al. Lithium sulfur batteries, a mechanistic review. Energy Environ. Sci. 2015;8:3477–3494. [Google Scholar]
- 8.Xu R, Lu J, Amine K. Progress in Mechanistic Understanding and Characterization Techniques of Li-S Batteries. Adv. Energy Mater. 2015;5:1500408. [Google Scholar]
- 9.Lang S-Y, et al. Insight into the Interfacial Process and Mechanism in Lithium–Sulfur Batteries: An In Situ AFM Study. Angew. Chem. 2016;55:15835–15839. doi: 10.1002/anie.201608730. [DOI] [PubMed] [Google Scholar]
- 10.Barchasz C, Leprêtre J-C, Alloin F, Patoux S. New insights into the limiting parameters of the Li/S rechargeable cell. J. Power Sources. 2012;199:322–330. [Google Scholar]
- 11.Fan FY, Carter WC, Chiang Y-M. Mechanism and Kinetics of Li2S Precipitation in Lithium–Sulfur Batteries. Adv. Mater. 2015;27:5203–5209. doi: 10.1002/adma.201501559. [DOI] [PubMed] [Google Scholar]
- 12.Barchasz C, et al. Lithium/Sulfur Cell Discharge Mechanism: An Original Approach for Intermediate Species Identification. Anal. Chem. 2012;84:3973–3980. doi: 10.1021/ac2032244. [DOI] [PubMed] [Google Scholar]
- 13.Yang B, et al. Critical Role of Anion Donicity in Li2S Deposition and Sulfur Utilization in Li-S Batteries. ACS Appl. Mater. Interfaces. 2019;11:25940–25948. doi: 10.1021/acsami.9b07048. [DOI] [PubMed] [Google Scholar]
- 14.Chu H, et al. Achieving three-dimensional lithium sulfide growth in lithium-sulfur batteries using high-donor-number anions. Nat. Commun. 2019;10:188. doi: 10.1038/s41467-018-07975-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Li Z, Zhou Y, Wang Y, Lu Y-C. Solvent-Mediated Li2S Electrodeposition: A Critical Manipulator in Lithium–Sulfur Batteries. Adv. Energy Mater. 2019;9:1802207. [Google Scholar]
- 16.Drvarič Talian S, et al. Which Process Limits the Operation of a Li–S System? Chem. Mater. 2019;31:9012–9023. [Google Scholar]
- 17.Zhang T, Marinescu M, Walus S, Kovacik P, Offer GJ. What Limits the Rate Capability of Li-S Batteries during Discharge: Charge Transfer or Mass Transfer? J. Electrochem. Soc. 2018;165:A6001–A6004. [Google Scholar]
- 18.Zhang T, Marinescu M, Walus S, Offer GJ. Modelling transport-limited discharge capacity of lithium-sulfur cells. Electrochim. Acta. 2016;219:502–508. [Google Scholar]
- 19.Lu Y-C, He Q, Gasteiger HA. Probing the Lithium–Sulfur Redox Reactions: A Rotating-Ring Disk Electrode Study. J. Phys. Chem. C. 2014;118:5733–5741. [Google Scholar]
- 20.Aetukuri NB, et al. Ion Pairing Limits Crystal Growth in Metal–Oxygen Batteries. ACS Energy Lett. 2018;3:2342–2348. [Google Scholar]
- 21.Thangavel V, et al. A Microstructurally Resolved Model for Li-S Batteries Assessing the Impact of the Cathode Design on the Discharge Performance. J. Electrochem. Soc. 2016;163:A2817–A2829. [Google Scholar]
- 22.Paolella A, et al. Transient existence of crystalline lithium disulfide Li2S2 in a lithium-sulfur battery. J. Power Sources. 2016;325:641–645. [Google Scholar]
- 23.Partovi-Azar P, Kühne TD, Kaghazchi P. Evidence for the existence of Li2S2 clusters in lithium–sulfur batteries: ab initio Raman spectroscopy simulation. Phys. Chem. Chem. Phys. 2015;17:22009–22014. doi: 10.1039/c5cp02781k. [DOI] [PubMed] [Google Scholar]
- 24.Feng Z, et al. Unravelling the role of Li2S2 in lithium–sulfur batteries: A first principles study of its energetic and electronic properties. J. Power Sources. 2014;272:518–521. [Google Scholar]
- 25.Conder J, et al. Direct observation of lithium polysulfides in lithium–sulfur batteries using operando X-ray diffraction. Nat. Energy. 2017;2:17069. [Google Scholar]
- 26.Cañas NA, Wolf S, Wagner N, Friedrich KA. In-situ X-ray diffraction studies of lithium–sulfur batteries. J. Power Sources. 2013;226:313–319. [Google Scholar]
- 27.Nelson J, et al. In Operando X-ray Diffraction and Transmission X-ray Microscopy of Lithium Sulfur Batteries. J. Am. Chem. Soc. 2012;134:6337–6343. doi: 10.1021/ja2121926. [DOI] [PubMed] [Google Scholar]
- 28.Dominko R, et al. Polysulfides Formation in Different Electrolytes from the Perspective of X-ray Absorption Spectroscopy. J. Electrochem. Soc. 2017;165:A5014–A5019. [Google Scholar]
- 29.Patel MUM, et al. Li-S Battery Analyzed by UV/Vis in Operando Mode. ChemSusChem. 2013;6:1177–1181. doi: 10.1002/cssc.201300142. [DOI] [PubMed] [Google Scholar]
- 30.Lowe MA, Gao J, Abruña HD. Mechanistic insights into operational lithium–sulfur batteries by in situ X-ray diffraction and absorption spectroscopy. RSC Adv. 2014;4:18347–18353. [Google Scholar]
- 31.Cañas NA, et al. Investigations of lithium–sulfur batteries using electrochemical impedance spectroscopy. Electrochim. Acta. 2013;97:42–51. [Google Scholar]
- 32.Marceau H, et al. In operando scanning electron microscopy and ultraviolet–visible spectroscopy studies of lithium/sulfur cells using all solid-state polymer electrolyte. J. Power Sources. 2016;319:247–254. [Google Scholar]
- 33.Yu S-H, et al. Direct visualization of sulfur cathodes: new insights into Li–S batteries via operando X-ray based methods. Energy Environ. Sci. 2018;11:202–210. doi: 10.1039/C7EE02874A. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Tonin G, et al. Multiscale characterization of a lithium/sulfur battery by coupling operando X-ray tomography and spatially-resolved diffraction. Sci. Rep. 2017;7:2755. doi: 10.1038/s41598-017-03004-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Schröder D, et al. In operando X-ray tomography for next-generation batteries: a systematic approach to monitor reaction product distribution and transport processes. J. Phys. D. 2016;49:404001. [Google Scholar]
- 36.Pietsch P, Wood V. X-Ray Tomography for Lithium Ion Battery Research: A Practical Guide. Annu. Rev. Mater. Res. 2017;47:451–479. [Google Scholar]
- 37.Yang Z, et al. Phase Separation of Li2S/S at Nanoscale during Electrochemical Lithiation of the Solid-State Lithium–Sulfur Battery Using In Situ TEM. Adv. Energy Mater. 2016;6:1600806. [Google Scholar]
- 38.Glatter, O. & Kratky, O. Small angle X-ray scattering. 17–51 (Academic Press Inc. Ltd., 1982).
- 39.Prehal C, et al. In situ small angle X-ray scattering reveals solution phase discharge of Li-O2 batteries with weakly solvating electrolytes. PNAS. 2021;118:e2021893118. doi: 10.1073/pnas.2021893118. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Prehal C, et al. Persistent and reversible solid iodine electrodeposition in nanoporous carbons. Nat. Commun. 2020;11:4838. doi: 10.1038/s41467-020-18610-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Risse S, Härk E, Kent B, Ballauff M. Operando Analysis of a Lithium/Sulfur Battery by Small-Angle Neutron Scattering. ACS Nano. 2019;13:10233–10241. doi: 10.1021/acsnano.9b03453. [DOI] [PubMed] [Google Scholar]
- 42.Chien, Y.-C., Lacey, M. J., Steinke, N.-J., Brandell, D. & Rennie, A. R. Correlations between precipitation reactions and electrochemical performance of lithium-sulfur batteries probed by operando scattering techniques. Chem, (2022).
- 43.Prehal C, et al. Quantification of ion confinement and desolvation in nanoporous carbon supercapacitors with modelling and in situ X-ray scattering. Nat. Energy. 2017;2:16215. [Google Scholar]
- 44.Park H, et al. Adiabatic and Nonadiabatic Charge Transport in Li–S Batteries. Chem. Mater. 2018;30:915–928. [Google Scholar]
- 45.Nath D, Singh F, Das R. X-ray diffraction analysis by Williamson-Hall, Halder-Wagner and size-strain plot methods of CdSe nanoparticles- a comparative study. Mater. Chem. Phys. 2020;239:122021. [Google Scholar]
- 46.Gebauer D, Kellermeier M, Gale JD, Bergström L, Cölfen H. Pre-nucleation clusters as solute precursors in crystallisation. Chem. Soc. Rev. 2014;43:2348–2371. doi: 10.1039/c3cs60451a. [DOI] [PubMed] [Google Scholar]
- 47.Thanh NTK, Maclean N, Mahiddine S. Mechanisms of Nucleation and Growth of Nanoparticles in Solution. Chem. Rev. 2014;114:7610–7630. doi: 10.1021/cr400544s. [DOI] [PubMed] [Google Scholar]
- 48.Kong L, et al. Current-density dependence of Li2S/Li2S2 growth in lithium–sulfur batteries. Energy Environ. Sci. 2019;12:2976–2982. [Google Scholar]
- 49.Wu H-L, Huff LA, Gewirth AA. In Situ Raman Spectroscopy of Sulfur Speciation in Lithium–Sulfur Batteries. ACS Appl. Mater. Interfaces. 2015;7:1709–1719. doi: 10.1021/am5072942. [DOI] [PubMed] [Google Scholar]
- 50.Arora AK, Rajalakshmi M, Ravindran TR, Sivasubramanian V. Raman spectroscopy of optical phonon confinement in nanostructured materials. J. Raman Spectrosc. 2007;38:604–617. [Google Scholar]
- 51.Yeon J-T, et al. Raman Spectroscopic and X-ray Diffraction Studies of Sulfur Composite Electrodes during Discharge and Charge. J. Electrochem. Soc. 2012;159:A1308–A1314. [Google Scholar]
- 52.Pascal TA, Wujcik KH, Wang DR, Balsara NP, Prendergast D. Thermodynamic origins of the solvent-dependent stability of lithium polysulfides from first principles. Phys. Chem. Chem. Phys. 2017;19:1441–1448. doi: 10.1039/c6cp06889h. [DOI] [PubMed] [Google Scholar]
- 53.Jin Z, et al. Expediting the Conversion of Li2S2 to Li2S Enables High-Performance Li–S Batteries. ACS Nano. 2021;15:7318–7327. doi: 10.1021/acsnano.1c00556. [DOI] [PubMed] [Google Scholar]
- 54.Fan C-Y, et al. High-Performance and Low-Temperature Lithium–Sulfur Batteries: Synergism of Thermodynamic and Kinetic Regulation. Adv. Energy Mater. 2018;8:1703638. [Google Scholar]
- 55.Yang G, Shi S, Yang J, Ma Y. Insight into the role of Li2S2 in Li–S batteries: a first-principles study. J. Mater. Chem. A. 2015;3:8865–8869. [Google Scholar]
- 56.Gommes C. Three-dimensional reconstruction of liquid phases in disordered mesopores using in situ small-angle scattering. J. Appl. Crystallogr. 2013;46:493–504. [Google Scholar]
- 57.Lorger S, Usiskin RE, Maier J. Transport and Charge Carrier Chemistry in Lithium Sulfide. Adv. Funct. Mater. 2019;29:1807688. [Google Scholar]
- 58.Drvarič Talian S, Moškon J, Dominko R, Gaberšček M. Impedance response of porous carbon cathodes in polysulfide redox system. Electrochim. Acta. 2019;302:169–179. [Google Scholar]
- 59.Pan H, et al. On the Way Toward Understanding Solution Chemistry of Lithium Polysulfides for High Energy Li–S Redox Flow Batteries. Adv. Energy Mater. 2015;5:1500113. [Google Scholar]
- 60.Park H, Koh HS, Siegel DJ. First-Principles Study of Redox End Members in Lithium–Sulfur Batteries. J. Phys. Chem. C. 2015;119:4675–4683. [Google Scholar]
- 61.Gombotz, M., Wilkening, A. & Wilkening, H. M. R. Lithium ion transport in micro- and nanocrystalline lithium sulphide Li2S. Zeitschrift für Naturforschung B, (2022).
- 62.Amenitsch H, et al. First performance assessment of the small-angle X-ray scattering beamline at ELETTRA. J. Synchrotron Radiat. 1998;5:506–508. doi: 10.1107/S090904959800137X. [DOI] [PubMed] [Google Scholar]
- 63.Prehal, C., Sujata, J.-M. & Porcar, L. Operando SANS measurements on Li-S batteries; Institut Laue-Langevin (ILL): Grenoble; Open-source dataset: 10.5291/ILL-DATA.1-04-221 (2021).
- 64.Kennedy, J. & Eberhart, R. in Proceedings of ICNN'95 - International Conference on Neural Networks. 1942−1948 1944.
- 65.Gommes CJ. Stochastic models of disordered mesoporous materials for small-angle scattering analysis and more. Microporous Mesoporous Mater. 2018;257:62–78. [Google Scholar]
- 66.Gommes CJ, Roberts AP. Structure development of resorcinol-formaldehyde gels: Microphase separation or colloid aggregation. Phys. Rev. E. 2008;77:041409. doi: 10.1103/PhysRevE.77.041409. [DOI] [PubMed] [Google Scholar]
- 67.Prehal C, et al. Comparing pore structure models of nanoporous carbons obtained from small angle X-ray scattering and gas adsorption. Carbon. 2019;152:416–423. [Google Scholar]
- 68.Prehal C, et al. A carbon nanopore model to quantify structure and kinetics of ion electrosorption with in situ small angle X-ray scattering. Phys. Chem. Chem. Phys. 2017;19:15549. doi: 10.1039/c7cp00736a. [DOI] [PubMed] [Google Scholar]
- 69.Roberts AP. Statistical reconstruction of three-dimensional porous media from two-dimensional images. Phys. Rev. E. 1997;56:3203–3212. [Google Scholar]
- 70.Berk N. Scattering properties of the leveled-wave model of random morphologies. Phys. Rev. A. 1991;44:5069. doi: 10.1103/physreva.44.5069. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The SANS data generated in this study have been deposited in the ILL database under 10.5291/ILL-DATA.1-04-221. All other data generated in this study are provided within the article and the Supplementary Information file, or are available from the corresponding author C.P. upon request.
The IgorPro (Wavemetrics) code used for SANS data fitting and stochastic modeling are available from the corresponding author C.P. on request.