Towards practical all-solid-state batteries: structural engineering innovations for sulfide-based solid electrolytes
Abstract
Sulfide-based solid electrolytes have emerged as pivotal components for the advancement of next-generation
Keywords
INTRODUCTION
Transitioning to a more sustainable and energy-efficient future heavily relies on advancements in
The recent commercialization of portable devices, EVs, and ESSs using LIBs has highlighted significant safety concerns[7,8]. Notable incidents, such as the Samsung Galaxy Note 7 explosions, Boeing 787 Dreamliner battery fires, and frequent explosions in current EVs, underscore the urgent need to address these issues[9]. The primary cause of these incidents was the use of low-flash-point organic solvents in conventional organic liquid electrolyte LIBs such as ethylene carbonate and dimethyl carbonate[10]. These limitations necessitate comprehensive improvements across the entire battery system, particularly for the materials used for the cathode, anode, electrolyte, and separator.
Developing all-solid-state batteries (ASSBs) that replace conventional liquid-based electrolytes with solid electrolytes is a solution that can overcome these challenges. The solid nature of these electrolytes facilitates a broader operational temperature range and reduces the risk of ignition compared to flammable organic liquid electrolytes[11-15]. Additionally, solid electrolytes may enable the use of high-energy-density lithium metal anodes by preventing dendrite growth, which is a critical issue in liquid electrolytes and can lead to short circuits[16,17]. Moreover, the absence of electrolyte leakage in solid-state batteries enables the bipolar stacking of battery modules, shifting from the monopolar design commonly used in current LIBs with liquid electrolytes[18]. Furthermore, the dry-electrode processing design displays the potential for higher energy density through the adoption of high-loading composite electrodes (> 6 mAh cm-2)[19]. In liquid-based LIBs, limitations in transport and wettability restrict the maximum areal loading. Therefore, ASSBs can enhance both the volumetric and gravimetric energy densities of the battery system, and offer a higher energy density and improved safety compared with traditional liquid-based LIBs[19]. Figure 1A-C illustrates the operational temperature range of typical electrolyte types, two types of stacking of battery modules, and calculated volumetric and gravimetric energy densities of ASSBs based on cell parameters. ASSBs with thin sulfide solid electrolytes (SSEs, ~30 µm) that adopt high-loading composite electrodes enable a gravimetric energy density surpassing 350 Wh kg-1, and meet the targets set by the U.S. Department of Energy and the U.S. Advanced Battery Consortium for advanced batteries in EVs.
Figure 1. (A) Operational temperature range of typical electrolyte types, including both liquid and solid electrolytes. Each electrolyte type is represented by a different color. The dashed bars indicate the temperature ranges for specific electrolytes as follows: Red for Li9.54[Si0.6Ge0.4]1.74P1.44S11.1Br0.3O0.6[20], green for Li10GeP2S12[12], violet for Li6.6P0.4Ge0.6S5I[21], and orange for 1 M LiPF6 in EC/DMC
Current liquid electrolytes in LIBs typically consist of LiPF6 in mixtures such as ethylene carbonate with dimethyl carbonate or propylene carbonate, and exhibit an ionic conductivity of 1-10 mS cm-1 at room temperature[15]. To match or enhance the performance of the current LIBs, the ionic conductivity of solid electrolytes must be comparable to that of liquid electrolytes, which necessitates significant advancements in this field. Major breakthroughs include the discovery of room-temperature ionic conductors such as
Sulfides, known for their high polarizability, include many well-known superionic conductors with conductivities reaching up to 32 mS cm-1 at room temperature within the various discovered lithium ionic conductors[13,20,28]. Moreover, owing to their softness, the grain boundaries within the particles were significantly reduced by cold pressing the powders[29]. Consequently, the sintering process, which is typically required to reduce the grain boundaries in oxide-based solid electrolytes, can be omitted after cell assembly[30-32]. This simplification makes them more practical for the scalable fabrication of ASSBs.
Figure 2 shows the Arrhenius plots of various solid electrolyte structures, highlighting sulfides as having the highest ionic conductivity among all types. SSEs can be categorized into two main types: crystalline structures and glass. Typical crystalline structures of SSEs include the argyrodite family (Li6PS5X, where X = Cl, Br, or I)[23], LGPS[12], and thio-LISICONs (typical composition LixMS4, where M = Al, Si, P, Ga, Ge, Sn, or Sb)[27,40-46]. Glass materials primarily consist of precursors such as Li2S (which provides mobile ions) and MxSy (where Mx represents the stoichiometric amount of framework ions of B, Al, Si, P, Ge, Sn, or Sb and y indicates the stoichiometric amount of sulfur required to balance the valency of Mx)[47-51] with variations in the ratios of these precursors. The key difference between the crystal structures and glass is that the latter has less-ordered lithium ion diffusion pathways, which can result in relatively high conductivity owing to the more random arrangement of lithium ions or vacancies that form suitable pathways through the material[52]. However, this randomness can limit the extent to which the ionic conductivity can be further improved. In contrast, while it is challenging to identify a lithium-ion-conducting crystalline structure, those that present a suitable diffusion network have the potential to possess significantly high ionic conductivity, potentially surpassing that of glass. This hypothesis is supported by ongoing research and results, which is why there is considerable interest in the development and optimization of crystalline materials[12,13,53,54].
Because lithium-ion diffusion persists within the crystal structure framework, the type of anion stacking configuration may affect the conduction behavior. Wang et al. found that the bcc anion sublattice exhibits the lowest activation barrier for lithium-ion conduction, as lithium ions migrate between the face-sharing tetrahedral sites within a network that is energetically equivalent[55].This is in contrast to the common hexagonal close-packed (hcp) or face-centered cubic (fcc) anion frameworks, in which lithium ions must migrate through sites with dissimilar coordination numbers (4 and 6). This variation in coordination numbers results in different energy barriers for achieving percolation owing to the differing site energies associated with each coordination number. While the superionic conductors LGPS and Li7P3S11 adopt a bcc anion sublattice, high ionic conductivity has also been observed in non-bcc anion sublattice structures, such as argyrodites Li6PS5X (X = Cl, Br, and I). This is attributed to the lithium-ion pathways that percolate through the face-sharing tetrahedral sites within the crystal structure, which is a conduction mechanism that mirrors the percolation observed in the bcc anion sublattice structures[55].
Conventionally, the ionic conductivity of crystals is mainly attributed to four factors: (1) the concentration of carrier ions or vacancies, (2) the dimensions of the mobile ion diffusion channels, (3) the polarization of the framework ions, and (4) minimal changes in the coordination environment along the diffusion pathways[36,56-59]. Specifically, ionic conductivity can be defined by[56]:
where n is the concentration of the carrier ions (number of ions cm-3), Zi is the integer number of charges of the ith charge carrier, q is the charge of an electron (C), and μi is the mobility of the ith ion [cm2 (V s)-1]. The concentration n can be defined as the product of the density of ion sites in the sublattice of interest N (number of ions cm-3) and the fractional occupation of the ions c. The ionic mobility μi is defined by the Einstein relation[56]:
Where Di corresponds to diffusion coefficient (cm2 s-1), and kB is the Boltzmann constant (J K -1). Again, the diffusion coefficient can be described using conventional hopping theory[56]:
Where γ is the geometrical factor that considers different crystal structures that the diffusion geometry is in, (1 - c)Z is the number of neighboring unoccupied sites as Z is the number of nearest neighbors, a is the jump distance (cm), ν0 is the attempt frequency (s-1) which corresponds to the oscillator frequency of moving cations, ΔS is the entropy of migration (J K-1), and Em is the migration energy (J). Consequently, the ionic conductivity can be expressed as[56]:
where Ea is the activation energy for the conduction of mobile ions, which is similar to the migration energy Em. In the expression for σ, the product of c(1 - c)Z must be nonzero for the material to function as an ionic conductor, where (1 - c)Z represents atomic defects, particularly vacancies and interstitial sites. The exponential part of the equation corresponds to the entropy term associated with ion migration and activation energy, both of which are key parameters that significantly influence ionic conductivity[56]. Therefore, reducing the activation energy is of considerable interest for enhancing ionic conductivity. From the perspective of lattice dynamics, the polarizability of the framework ions is correlated to the activation energy[58]. Higher polarizability increases the distance between the mobile and framework ions, which results in weaker bonds and, therefore, reduces the activation energy[36,60]. Furthermore, the ionic motion within a unit cell is highly affected by the type of crystal structure, which can be considered as a geometrical factor, γ, in the ionic conductivity equation[56]. Overall, achieving a high ionic conductivity requires an optimal concentration of ionic carriers and vacancies, low activation energy, high entropy, and a crystal structure specifically optimized for ionic conduction.
In this review, we systematically investigate various SSE systems, including glassy sulfides, thio-LISICONs (LixMS3 and LixMS4, where M = Al, Si, P, Ga, Ge, Sn, and Sb), the Li10MP2S12 family (M = Si, Ge, Sn), and argyrodite compounds such as Li6PS5X (X = Cl, Br, and I). The ion-conduction mechanism is explained in relation to the crystal structure type, and further material designs aimed at enhancing ion conduction are illustrated.
SULFIDE SOLID ELECTROLYTES: STRUCTURAL ASPECT
Table 1 presents the ionic conductivity and activation energy of the SSEs. The structural characteristics of these electrolytes, including both glassy phases and various crystalline structures, were systematically investigated. This analysis provides insight into the relationship between the crystal structure, ionic conductivity, and activation energy of these materials.
Ionic conductivity and activation energy of sulfide solid electrolytes. Room temperature corresponds to the temperature region of 298-303 K
Material (mole fraction) | σRT (S cm-1) | Ea (eV) | Reference |
60Li2S-40P2S5 | 1.3 × 10-5 | 0.5 | [61] |
67Li2S-33P2S5 | 6.6 × 10-5 | 0.42 | [61] |
70Li2S-30P2S5 | 1.6 × 10-4 | 0.40 | [61] |
75Li2S-25P2S5 | 2.8 × 10-4 | 0.39 | [62] |
80Li2S-20P2S5 | 1.3 × 10-4 | 0.4 | [62] |
55(66Li2S-33P2S5)-45LiI | ~ 10-3 | 0.3 | [63] |
67(75Li2S-25P2S5)-33LiBH4 | 1.6 × 10-3 | 0.22 | [64] |
40LiI-60Li4SnS4 | 4.1 × 10-4 | 0.43 | [65] |
70Li2S-30B2S3 | 9.5 × 10-5 | 0.43 | [61] |
67Li2S-23B2S3-10P2S5 | 1.4 × 10-4 | 0.40 | [61] |
70(75Li2S-10B2S3-15P2S5) -30LiI | 1.5 × 10-3 | 0.19 | [66] |
50Li2S-50SiS2 | 1.5 × 10-4 | 0.34 | [67] |
72.7Li2S-18.2P2S5-9.1SiS2 | 5.0 × 10-4 | 0.29 | [50] |
72.7Li2S-18.2P2S5-9.1GeS2 | 5.2 × 10-4 | 0.27 | [50] |
72.7Li2S-18.2P2S5-9.1SnS2 | 3.5 × 10-4 | 0.35 | [50] |
5Li2S-3SiS2 | 1.2 × 10-3 | 0.30 | [68] |
γ -Li3PS4 | 3.0 × 10-7 | 0.49 | [27] |
β-Li3PS4 | 2.0 × 10-4 | 0.36 | [69] |
α-Li3PS4 | 1.3 × 10-3 | 0.33 | [69] |
Li10GeP2S12 | 1.2 × 10-2 | 0.25 | [12] |
Li9.54Si1.74P1.44S11.7Cl0.3 | 2.5 × 10-2 | 0.24 | [13] |
Li9.81Sn0.81P2.19S12 | 5.5 × 10-3 | 0.26 | [70] |
Li10.35Si1.35P1.65S12 | 6.7 × 10-3 | 0.27 | [70] |
Li2GeS3 | 1.6 × 10-8 | 0.37 | [71] |
Orthorhombic-Li2SiS3 | 2.0 × 10-6 | 0.49 | [72] |
Li1.82SiP0.036S3 | 2.4 × 10-3 | 0.28 | [25] |
Li2SnS3 | 1.5 × 10-5 | 0.59 | [73] |
Li4GeS4 | 2.0 × 10-7 | 0.53 | [74] |
LT-Li4SiS4 | 9.4 × 10-7 | 0.36 | [41] |
HT-LI4SiS4 | 5.3 × 10-7 | 0.40 | [41] |
Li7P3S11 | 3.2 × 10-3 | 0.12 | [75] |
Li6PS5Cl | 1.9 × 10-3 | 0.22 | [76] |
Li6PS5Br | 6.8 × 10-3 | 0.27 | [76] |
Li5PS5I | 4.6 × 10-7 | 0.32 | [76] |
Li5.5PS4.5Cl1.5 | 9.4 × 10-3 | 0.29 | [77] |
Li5.3PS4.3Br1.7 | 1.1 × 10-2 | 0.18 | [78] |
Li6.7Si0.7Sb0.3S5I | 1.1 × 10-2 | 0.26 | [24] |
Li6.6P0.4Ge0.6S5I | 1.2 × 10-2 | 0.21 | [79] |
Glasses
Glasses were first recognized for their ion-conducting properties in 1884 when Warburg demonstrated the ability of sodium ions to pass through Thüringer glass under the influence of an electric field applied between two sodium amalgams[80]. The highest lithium-ion conductivities reported in oxide glasses are typically 10-7-10-4 S cm-1 at 473 K[81-83], while sulfide-based glasses exhibit higher ionic conductivities even at room temperature[50,61,84,85]. The increased polarizability and lower charge density of the sulfide anions reduce the Coulombic interactions between the mobile cations and sulfur anions, which causes weaker bonding. This, in turn, allows for higher ionic conductivity[30,36].
The most systematically studied glass sulfide is the binary xLi2S-(100-x)P2S5 system (where x represents the mole percentage). The short-range order of the PS4 framework exhibited different sharing modes depending on its composition [Figure 3A and B]. A higher concentration of alkali modifiers, such as Li+, caused a reduction in network connectivity by creating nonbridging sulfur anions, similar to what was observed in the oxide systems[86]. As the proportion of x in the xLi2S-(100-x)P2S5 binary system increased, the network connectivity of the PS43- units became more isolated. This progressive isolation eventually resulted in a dominant phase characterized by isolated PS4 building blocks at x = 75, which evolved from the
Figure 3. (A) Raman spectra for Li2S-P2S5 glasses. 75Li2S, 70Li2S, and 67Li2S glasses are represented in black, blue, and green lines, respectively[84]; (B) Calculated polyhedral connection statistics of Li2S-P2S5 glasses using DFT/RMC model. The filled and hatched bars represent corner and edge-sharing[84]. Reproduced with permission[84]. Copyright 2016, Springer Nature; (C) Arrhenius plots and (D) Raman spectra for the 2Li2S-SiS2, 5Li2S-3SiS2, and 6Li2S-4SiS2; (E) Schematics of Li+ attraction and (F) dissociation energy of Li+ in two different polyhedral unit, SiS44- and Si2S64-[68]. Reproduced with permission[68]. Copyright 2024, Wiley-VCH GmbH. DFT/RMC: Density functional theory/reverse Monte Carlo.
Unlike the Li2S-P2S5 binary glass system, recent studies on Li2S-SiS2 binary systems have highlighted the importance of the Si-S polyanion type [Figure 3C and D]. Specifically, two edge-sharing SiS4 (Si2S64-) units exhibited weaker lithium attraction than the isolated SiS44- tetrahedral building block, as supported by both experimental data and the Ab-initio random structure searching technique [Figure 3E and F]. Among the compositions studied, 5Li2S-3SiS2, which contains the Si2S64- unit, exhibited the highest ionic conductivity at room temperature (1.2 × 10-3 S cm-1) compared with 2Li2S-SiS2 and 6Li2S-4SiS2, both of which contained only isolated SiS44- units[68]. Overall, these findings collectively underscore the importance of considering both the lithium-ion pathway network connectivity and polyanion building block features when optimizing glassy electrolytes to enhance lithium-ion conduction.
Crystalline materials
Li-P-S glass ceramics
Inorganic glassy compounds comprising sulfides crystallize when heated to specific temperatures. These crystalline structures are classified as glass-ceramics[88]. The most well-known glass-ceramics are Li2P2S6
Figure 4A and B shows the crystal structure of Li2P2S6. The crystalline Li2P2S6 structure was first identified by Eckert et al. using nuclear magnetic resonance (NMR) spectroscopy[101]. Later, Dietrich et al. further elucidated the solvation of the crystal structure[89], and both studies revealed edge-sharing PS4 tetrahedral units (P2S62-) within a unit cell. Li2P2S6 crystallized in the monoclinic space group C2/m (no. 12), and two edge-sharing PS4 (P2S62-) were formed in an eclipsed arrangement along specific axes. The lithium ions were located within the basal-distorted octahedral sites, and formed chains with an edge-shared form [Figure 4C]. The low ionic conductivity (7.8 × 10-11 S cm-1 at room temperature) and high activation energy (0.48 eV) observed for the Li2P2S6 can be explained by three main factors: (1) the absence of
Figure 4. (A) Crystal structure of Li2P2S6 and (B) reconstructed negative nuclear density map; (C) (left) Distorted LiS6 octahedron and (right) edge-shared Li polyhedra along the b-axis in Li2P2S6[89]. Reproduced with permission[89]. Copyright 2017, American Chemical Society; (D) Crystal structure of Li4P2S6, projections along the a-, c-axis and perspective view emphasizing the P2S64- and LiS6 units[99]; (E) Diffusion pathways of Li4P2S6 involving all three (upper) or two (middle) possible interstitial sites and vacancy-mediated diffusion (lower) between the lattice Li sites[93]. Reproduced with permission[93]. Copyright 2016, American Chemical Society; (F) Crystal structure of Li4-2xZnxP2S6, viewed along [100], [001] (g) Arrhenius plots of the ionic conductivities for the Li4-2xZnxP2S6 (0.25 ≤ x ≤ 1, nominal composition)[100]. Reproduced with permission[100]. Copyright 2023, Elsevier.
The crystal structure of Li4P2S6 has been reported to have various symmetries; however, it is consistently described as a rigid framework composed of ethane-like P2S64- building units (P4+) featuring P-P bonds
Glass-ceramic Li7P3S11 was first discovered by Mizuno et al. and it exhibited a high ionic conductivity of
Figure 5. (A) X-ray diffraction (XRD) patterns and (B) Arrhenius plots of ionic conductivities of the 70Li2S-30P2S5 glasses with different synthetic conditions[105]. Reproduced with permission[105]. Copyright 2005, Wiley-VCH GmbH; (C) The crystal structure of Li7P3S11[106]; (D) Schematic illustration of lithium-ion conduction and local flip motion in Li7P3S11[107] Reproduced with permission[107]. Copyright 2015, American Chemical Society; (E) (left) Pair distribution function, G(r), obtained from the AIMD calculation and (right) corresponding pair schematics with lithium-ion diffusion pathways[108] Reproduced with permission[108]. Copyright 2018, American Chemical Society. AIMD: Ab initio molecular dynamics.
Thio-LISICONs
The term “LISICON” was originally used to describe the oxide-based lithium-ion conductors[114]. The resulting compounds by replacing the oxygen with sulfur in LISICON are referred to as thio-LISICON[115]. Thio-LISICONs are generally represented by LixMS4 (where M = Al, Si, P, Ga, Ge, Sn, or Sb). These compounds feature sulfide anions arranged in a hcp structure with minimal distortion and typically consist of isolated MS4 tetrahedral frameworks with Li ions occupying the vacant sites within the framework. These lithium ions were coordinated within the LiS4 or LiS6 polyhedra[43,115]. The ionic conductivity of
The most well-known polymorph is the Li3PS4 system, which exhibits three temperature-dependent phases: the high-temperature (HT) phase [Cmcm (no. 63) or P21/m (no. 11), α-Li3PS4], the intermediate-temperature phase [Pnma (no. 62), β-Li3PS4], and the low-temperature (LT) phase
Figure 6. (A) Three different polymorphs and (B) corresponding simulated XRD patterns of Li3PS4[69]. Reproduced with permission[69]. Copyright 2023, American Chemical Society; (C) Fraction of stacking type of anion-sublattice in β- (left) and α-Li3PS4 (right)[121]. Reproduced with permission[121]. Copyright 2018, American Chemical Society; (D) Three types of rotational motion of PS4 (left: threefold rotation, middle: librational motion, right: occupancy-change-driven tilting)[122]. Reproduced with permission[122]. Copyright 2024, Proceedings of the National Academy of Sciences; (E) (left) Lithium occupancy factor and bottleneck area as a function of x in Li4-xSi1-xSbxS4 (0 ≤ x ≤ 0.25), and (right) 1D diffusion pathways of lithium-ion diffusion pathways with the corresponding LT-Li4SiS4 crystal structure; (F) (left) Arrhenius plots of ionic conductivities and (right) activation energy versus nominal composition for the
Recent studies suggest that the key factor contributing to the difference in ionic conductivities among the three phases was the arrangement of sulfur anions in the substructures. The α-Li3PS4 phase exhibited
On the other hand, the polymorph of Li4SiS4 exhibits a structure type similar to that of β- (LT phase) or
LixMS3 (M = Si, Ge, Sn)
LixMS3 includes glass ceramics such as Li2P2S6 and Li4P2S6[89,93], and several materials containing tetravalent cations such as Li2SiS3, Li2GeS3, and Li2SnS3[25,46,71,73,125]. Unlike LixMS4, each element in the polyanion exhibits a distinct crystal structure with different space groups that are not related to one another. Based on the stoichiometric composition of LixMS3, MS4y- tetrahedra in the structure should not be isolated. Instead, these tetrahedra were either corner-shared or formed edge-sharing M2S6y- tetrahedra. Ahn et al. first reported the crystal structure of Li2SiS3 as an orthorhombic phase of Cmc21 (No. 36) in 1989[46]. The structure comprised SiS44- tetrahedra that were corner-shared with each other and formed infinite zigzag chains along the c-axis [Figure 7A]. Lithium ions occupied the tetrahedral interstices, where the LiS4 tetrahedra were corner-shared in all directions within a unit cell. The low ionic conductivity observed for this crystal structure
Figure 7. (A) Schematic crystal structure of orthorhombic-Li2SiS3[46]. Reproduced with permission[46]. Copyright 1989, Elsevier; (B) Crystal structure of tetragonal Li1.82SiP0.036S3 viewed along the [010] and [001] directions, respectively; (C) Bond valence energy landscape calculations for lithium-ion diffusion pathways within Li1.82SiP0.036S3 (left) and orthorhombic Li2SiS3 (right)[25]. Reproduced with permission[25]. Copyright 2022, American Chemical Society; (D) Crystal structure of Li2GeS3 and (E) corresponding lithium-ion diffusion pathways and energy diagram, as calculated by the bond valence energy landscape[71] Reproduced with permission[71]. Copyright 2023, American Chemical Society; (F) The crystal structure of Li2SnS3, which illustrates various projections to highlight the Sn-S framework[73]. Reproduced with permission[73]. Copyright 2015, American Chemical Society.
Recently, we determined that the crystal structure of Li2GeS3 exhibited a P61 (no. 169) space group. The structure featured infinitely shared corners of GeS4 tetrahedra aligned along the c-axis of a unit cell, which formed a spiral GeS4 framework. The lithium ions were located within the tetrahedral interstitial sites [Figure 7D]. Favorable lithium-ion connectivity was observed through one-dimensional (1D) pathways, which were interconnected to form 3D diffusion pathways within the crystal structure [Figure 7E]. However, the structure exhibited low ionic conductivity (1.63 × 10-8 S cm-1 at 303 K) and an activation energy of 0.37 eV, which may be because of the ordered arrangement of lithium ions within a unit cell, as no vacant sites were available for additional lithium-ion hopping. In this context, the aliovalent anion substitution series Li2-xGeS3-xClx (x = 0.15) was designed to introduce vacancies into the crystal structure. This resulted in a tenfold increase in the ionic conductivity (1.15 × 10-7 S cm-1 at 303 K), and confirmed the effectiveness of the structural engineering approach in enhancing lithium-ion transport properties[71].
The crystal structure of Li2SnS3 was first reported by Kuhn et al., and was described as crystallizing in the monoclinic space group C2/c (no.15)[125]. The structure exhibited a layered configuration characterized by a partial disorder in the Li/Sn sublattice. This disorder varied depending on the synthesis conditions. For example, melt-quenched Li2SnS3 exhibited significant Li/Sn disorder, which resulted in an average rhombohedral structure with higher symmetry and a smaller unit cell
Overall, the high ionic conductivities of thio-LISICON compounds depend on several factors. Key strategies include stabilizing the high-conductivity polymorphs, introducing vacancies to create sites for lithium-ion hopping, and leveraging diffusion mechanisms such as the soft-cradle effect to enhance lithium-ion mobility. These strategies emphasize the importance of controlling the charge-carrier concentrations in the development of high-performance ionic conductors. The effective management of these factors is crucial for advancing lithium-ion conductors in thio-LISICON systems.
Li6PS5X (X = Cl, Br, and I) argyrodite
The argyrodite structure was first identified in 1885 with the discovery of Ag8GeS6[126]. This crystal structure was characterized by highly disordered silver ions within a unit cell. Additionally, Cu can be substituted for Ag in argyrodites, and both Ag- and Cu-containing argyrodites exhibited high ionic conductivity[127-131]. The general composition of argyrodites is: Am+(12-n-x)/mBn+Y2-6, where A = Li, Ag, Cu; B = Ge, Sn, P, As; Y = S, Se, Te; and 0 ≤ x ≤ 1, where m and n represent the valence states of the cations. Inspired by the similar ionic radii of Cu+ and Li+, Deiseroth et al. proposed “Li-argyrodites”, with a general structure of Li7MS6 or
Figure 8A shows the crystal structure of HT-argyrodite with Li6PS5X (X = Cl, Br, or I). In the tetrahedral close packing of the anions, there were 136 tetrahedral sites per unit cell (Z = 4). Among these, four tetrahedral sites were occupied by P. The remaining 132 tetrahedral sites were available to accommodate the 24 lithium ions and were classified into five types based on their orientation relative to the PS43- tetrahedra [Figure 8B]. Typically, 24 lithium ions occupy type 5/5a or type 2 tetrahedral sites. Type 5a sites were arranged in a trigonal planar configuration at the shared face between two type 5 tetrahedra. These lithium ions were disordered across equivalent positions, which formed a cage-like network. The cages were located at the tetrahedral sites within a cubic close-packed unit cell and aligned in a mirror relationship along the (110) plane. The cages exhibited a zigzag stacking pattern relative to the isotropic axes of a unit cell. Interestingly, it was observed that the X- and S2- anions occupied distinct crystallographic sites within a unit cell, with X- forming a close-packed cubic lattice. However, anion disorder between X- and S2- (1.84 Å) occurred when their ionic radii were similar. The degree of X-/S2- anion disorder depends on the ionic radius of X-, with the strength of disorder following the trend: Cl- (1.81 Å) > Br- (1.96 Å) > I- (2.2 Å)[23,134]. The ionic conductivities of Li6PS5Cl, Li6PS5Br, and Li6PS5I are 1.4 × 10-3 S cm-1, 8.7 × 10-3 S cm-1, and
Figure 8. (A) (left) The crystal structure of Li6PS5I. (right) A face-shared S3I2 double tetrahedron with two distinct lithium-ion equivalent sites[23]. Reproduced with permission[23]. Copyright 2008, Wiley-VCH GmBH; (B) A simplified tetrahedron type in the argyrodite structure, where light gray represents PS4 groups (type 0) and dark gray indicates lithium-containing tetrahedron types (types 1-5)[131]. Reproduced with permission[131]. Copyright 2010, Wiley-VCH GmBH; (C) (upper left) Lattice parameters of Li6-xPS5-xCl1+x as a function of x. (upper right) Impedance plots at room temperature of Li6PS5Cl, Li5.75PS4.75Cl1.25, Li5.5PS4.5Cl1.5, and a sintered Li5.5PS4.5Cl1.5. (lower left) Nyquist and Arrhenius plots for Li5.5PS4.5Cl1.5. (lower right) Ionic conductivity and activation energy for Li6-xPS5-xCl1+x (x = 0, 0.25, 0.375, 0.5)[77]. Reproduced with permission[77]. Copyright 2019, Wiley-VCH GmBH; (D) (upper left) Crystal structure of
The ionic conductivity of the argyrodite structure is widely recognized to depend on four key factors: (1)
For instance, Li6PS5Cl exhibits a smaller unit cell volume than Br- or I-based argyrodites, which results in a shorter distance between the Li cages within a unit cell. This structure facilitates a high ionic conductivity of ~1 mS cm-1 at room temperature, along with a low activation energy[36,76,77]. The diffusion of lithium ions easily occurs between these Li cages, which facilitates control of the lithium-ion concentration or the induction of greater anion disorder, which is crucial for further enhancement of the ionic conductivity. Adeli et al. demonstrated that a Cl-rich argyrodite (with the nominal composition series Li6-xPS5-xCl1+x,
In the case of Li6PS5I, different strategies should be applied to enhance ionic conductivity. Owing to the large volume of the unit cell, the distance between the Li cages was greater than that in Li6PS5Cl[36]. Consequently, concerted migration could not occur along long-range diffusion between cages because of the deficiency of lithium ions within the cell. This resulted in a lower ionic conductivity and higher activation energy than those of Li6PS5Cl, despite their similar crystal structures[135,139,141]. Therefore, the introduction of interstitial lithium ions is an effective approach for activating 3D lithium-ion diffusion between cages[135,137]. Ohno et al. and Zhou et al. proposed a Li-rich substitution series of Li6+xMx(P/Sb)1-xS5I (M = Si, Ge, Sn), which demonstrated a high ionic conductivity of up to 24 mS cm-1 at room temperature and a low activation energy [Figure 8D][24,139]. The enhanced ionic conductivity can be attributed to the more disordered arrangement of lithium ions, which occupied not only type 5 equivalent sites but also type 2 sites, further boosting the connectivity between the Li-ion cages and activating concerted migration within the unit cell.
Moreover, anion disorder can influence ionic conductivity by altering the local charge distribution, which subsequently affects the arrangement of lithium ions[133,137]. Gautam et al. analyzed the crystal structure of
The polarization of the anions also affects ionic conduction. Similar to the design strategy of
where MLi refers to the mass of the lithium ions. Consequently, the optimal lattice softness in the argyrodite structure, such as that in Li6PS5Cl0.5Br0.5, results in a balanced value of the Arrhenius prefactor and activation energy, facilitating high ionic conductivity[36].
As a result, structural engineering of argyrodites, such as controlling the lithium-ion concentration, lattice softness, and anion disorder, has proven to be an effective strategy for achieving high-performance
LGPS-type (Li10GeP2S12) structures
The discovery of LGPS dates back to an investigation by Kanno et al. in 2001, which focused on the solid solution series in the Li2S-GeS2-P2S5 system[143]. The solid solution in the Li4-xGe1-xPxS4 system (x = 0.75;
Figure 9. (A) Crystal structure of the Li10GeP2S12; (B) Single lithium-ion jumps within the hcp-like packing and bcc-like packing of anion frameworks[145]. Reproduced with permission[145]. Copyright 2020, Wiley-VCH GmBH; (C) The crystal structure of Li10SnP2S12[37]. Reproduced with permission[37]. Copyright 2013, American Chemical Society; (D) (upper) Schematic of the hypothetical inductive effect in M-S Li bonding for M = Ge vs. M = Sn. (lower left) Changes in the S-Li distances and occupancies with changing force constant in Li10Ge1-xSnxP2S12. (lower right) S-Li distance versus previously reported activation energies[146]. Reproduced with permission[146]. Copyright 2020, American Chemical Society; (E) Compositional complexity metric for LGPS-type and argyrodite-type versus crystal structure indicator, the volume ratio of anions to that of cations; (F) Arrhenius plots for the ionic conductivities of
The crystal structure of the LGPS-type material comprises an S2- sublattice, which is packed more akin to a bcc structure, unlike the hcp-packed structure observed in thio-LISICONs. The ideal bcc framework provides a continuous, face-sharing tetrahedral pathway with lower activation energy than the hcp or fcc structures [Figure 9B][55]. Therefore, the unusually high ionic conductivity of the LGPS-type structure can be attributed to (1) the ideal bcc framework, where the flattened energy landscape throughout the lattice promotes disordered lithium-ion distribution within a unit cell, and (2) the connectivity of lithium-ion diffusion pathways, enabling 1D and 3D network diffusion.
Bron et al. identified the crystal structure of Li10SnP2S12[37], which had the same LGPS-type structure as that of LGPS [Figure 9C]. This new compound exhibited an ionic conductivity of approximately 4 mS cm-1 at room temperature, slightly lower than that of LGPS. Culver et al. studied the inductive effect in a
The highest ionic conductivity among the LGPS-type compounds reported to date is that of
Overall, the LGPS-type structure highlights the crucial role of the crystal architecture in achieving high ionic conductivity. The bcc-like framework in the LGPS-type materials facilitates continuous low-energy barrier pathways for Li-ion diffusion across both 1D and 3D networks. Further structural modifications, such as leveraging the inductive effect, enhancing lattice polarizability, or inducing high entropy within the crystal structure, can significantly enhance the ionic conductivity of the LGPS-type structures.
CONCLUSION AND OUTLOOK
Discovering novel structure-type solid electrolytes
In this review, we systematically characterized the relationship between the crystal structure and ionic conductivity, with a particular focus on SSEs. Most sulfide ionic conductors, including thio-phosphates, exhibit high ionic conductivity in the order of ~1 mS cm-1 at room temperature. Among the various sulfide materials, those with the LGPS-type structure have demonstrated the highest ionic conductivity reported so far for solid electrolytes, which reached up to 32 mS cm-1 at room temperature. In the case of glass, the distribution of the framework polyanions and lithium ions is strongly influenced by the concentration of the mobile ions within the compounds. However, in crystalline compounds, lithium-ion mobility is influenced by several factors that can be optimized through structural modifications. These factors include (1) the concentration of the lithium ions, (2) structure of the lithium-ion diffusion pathways, and (3) polarizability of the crystal framework. Understanding the chemical properties of the crystal structure that affect ionic conduction, such as the soft-cradle effect, inductive effect, lattice softness, high-entropy compounds, and concerted migration mechanism within a unit cell, is essential for this purpose. To investigate the diverse crystal chemistry and enhance the superionic conduction, it is crucial to elucidate the phase-composition relationship within previously unstudied chemical systems. This exploration may result in the discovery of new structures with high ionic conductivity.
Interfacial engineering
Although high ionic conductivity is crucial for achieving ASSBs with high energy densities, identifying a solid electrolyte that provides both excellent ionic conductivity and robust chemical and electrochemical stability remains a significant challenge. Processing sulfide compounds requires a dry-air atmosphere because of their reactivity with moisture in the air, which limits their large-scale production. Additionally, the narrow electrochemical stability window of the sulfides restricts their practical application in ASSBs, which indicates that solid electrolyte-electrode interface engineering is essential for practical deployment. The interface between the electrode and solid electrolyte during cell cycling is strongly influenced by the constituent elements of solid electrolytes, which decompose at higher or lower potentials near the electrodes. This decomposition forms stable phases composed of these elements within the interface, with their redox potential determining the interfacial stability. Therefore, doping with elements that exhibit a wide electrochemical stability window, such as halides or oxides, can enhance the interfacial stability of solid electrolytes and improve the long-term cycling performance of ASSBs.
Further studies required to develop ASSBs with the desired performance include:
(1) Hybrid Assembly of ASSBs: The intrinsically narrow electrochemical stability window of sulfides causes rapid decomposition in high-voltage regions, hindering the practical commercialization of ASSBs. Incorporating a small amount of high-voltage-stable solid electrolytes, such as halide-based solid electrolytes, in the cathode region alongside SSEs is a promising approach. This hybrid assembly can enhance long-term cycling performance by mitigating the decomposition of SSEs at high-voltage cathode regions.
(2) Exploring Nanocomposites for Anode Interfaces: ASSBs with lithium metal anodes offer high energy density but face challenges such as lithium dendrite growth during cycling, which compromises safety and degrades overall cell performance. Incorporating nanocomposite anodes with high compatibility, enhanced lithium diffusion, and stability at high currents with solid electrolytes can accelerate the commercialization of ASSBs. To advance their practical application, a more fundamental investigation into alloying and
(3) Microstructure Modification: Micropores within solid electrolytes lead to contact loss at the
This review provides a comprehensive analysis of the crystal structures of sulfide-based solid electrolytes, serving as a valuable resource for future advancements in battery research. Continued research on highly ionic conductors is essential for deepening our understanding of ion conduction mechanisms within crystalline structures. Such insights will not only enhance the performance of the existing solid electrolytes, but also aid in the discovery of new crystal structures and chemistries.
DECLARATIONS
Authors’ contributions
Conceived the manuscript: Roh, J.; Do, N.
Wrote the manuscript: Roh, J.; Do N.
Reviewed the manuscript: Hong, S. T.; Chae, M. S.
Contributed to the discussion of the manuscript: Roh, J.; Do, N.; Lee, H.; Lee, S.; Pyun, J.; Hong S. T.; Chae, M. S.
Availability of data and materials
Not applicable.
Financial support and sponsorship
This work was supported by a National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIT) (No. 2020R1A2C2007070).
Conflicts of interest
All authors declared that there are no conflicts of interest.
Ethical approval and consent to participate
Not applicable.
Consent for publication
Not applicable.
Copyright
© The Author(s) 2025.
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Roh, J.; Do, N.; Lee, H.; Lee, S.; Pyun, J.; Hong, S. T.; Chae, M. S. Towards practical all-solid-state batteries: structural engineering innovations for sulfide-based solid electrolytes. Energy Mater. 2025, 5, 500061. http://dx.doi.org/10.20517/energymater.2024.219
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