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We discover many new crystalline solid materials with fast single crystal Li ion conductivity at room temperature, discovered through density functional theory simulations guided by machine learning-based methods. The discovery of new solid…

Materials Science · Physics 2019-04-22 Austin D. Sendek , Ekin D. Cubuk , Evan R. Antoniuk , Gowoon Cheon , Yi Cui , Evan J. Reed

Li-Ion Solid-State Electrolytes (Li-SSEs) are a promising solution that resolves the critical issues of conventional Li-Ion Batteries (LIBs) such as poor ionic conductivity, interfacial instability, and dendrites growth. In this study, a…

Materials Science · Physics 2022-02-15 Seungpyo Kang , Minseon Kim , Kyoungmin Min

Solid state lithium- and sodium-ion batteries utilize solid ionicly conducting compounds as electrolytes. However, the ionic conductivity of such materials tends to be lower than their liquid counterparts, necessitating research efforts…

Materials Science · Physics 2020-03-12 Yijie Xu , Yun Zong , Kedar Hippalgaonkar

Mixed ionic-electronic conductors (MIECs) exhibit both high ionic and electronic conductivity to improve the battery performance. In this work, we investigate the mechanism and stability of transport channels in our recently developed MIEC…

Materials Science · Physics 2026-05-29 Selva Chandrasekaran Selvaraj , Daiwei Wang , Donghai Wang , Anh T. Ngo

Recently, machine-learning approaches have accelerated computational materials design and the search for advanced solid electrolytes. However, the predictors are currently limited to static structural parameters, which may not fully account…

Materials Science · Physics 2026-01-19 Jiyeon Kim , Donggeon Lee , Dongwoo Lee , Xin Li , Yea-Lee Lee , Sooran Kim

We compile data and machine learned models of solid Li-ion electrolyte performance to assess the state of materials discovery efforts and build new insights for future efforts. Candidate electrolyte materials must satisfy several…

Materials Science · Physics 2019-04-22 Austin D. Sendek , Gowoon Cheon , Mauro Pasta , Evan J. Reed

We report the computational investigation of a series of ternary X$_4$Y$_2$Z and X$_5$Y$_2$Z$_2$ compounds with X={Mg, Ca, Sr, Ba}, Y={P, As, Sb, Bi}, and Z={S, Se, Te}. The compositions for these materials were predicted through a search…

Materials Science · Physics 2019-04-03 Maximilian Amsler , Logan Ward , Vinay I. Hegde , Maarten G. Goesten , Xia Yi , Chris Wolverton

The properties of the mixed system LiBH4 LiCl P2S5 are studied with respect to all-solid-state batteries. The studied material undergoes an amorphization upon heating above 601C, accompanied with increased Li+ conductivity beneficial for…

The lithium transport mechanism in ternary polymer electrolytes, consisting of PEO/LiTFSI and various fractions of the ionic liquid N-methyl-N-propylpyrrolidinium bis(trifluoromethane)sulfonimide, are investigated by means of MD…

Soft Condensed Matter · Physics 2013-02-21 Diddo Diddens , Andreas Heuer

Combining high-throughput experiments with machine learning allows quick optimization of parameter spaces towards achieving target properties. In this study, we demonstrate that machine learning, combined with multi-labeled datasets, can…

Li-containing argyrodites represent a promising family of Li-ion conductors with several derived compounds exhibiting room-temperature ionic conductivity > 1 mS/cm and making them attractive as potential candidates as electrolytes in…

Discovering new superionic materials is essential for advancing solid-state batteries, which offer improved energy density and safety compared to the traditional lithium-ion batteries with liquid electrolytes. Conventional computational…

Enhancing the ion conduction in solid electrolytes is critically important for the development of high-performance all-solid-state lithium-ion batteries (LIBs). Lithium thiophosphates are among the most promising solid electrolytes, as they…

Materials Science · Physics 2024-01-11 Zhimin Chen , Tao Du , N. M. Anoop Krishnan , Yuanzheng Yue , Morten M. Smedskjaer

Solid-state electrolytes with argyrodite structures, such as $\mathrm{Li_6PS_5Cl}$, have attracted considerable attention due to their superior safety compared to liquid electrolytes and higher ionic conductivity than other solid…

Materials Science · Physics 2023-10-31 Jiho Lee , Suyeon Ju , Seungwoo Hwang , Jinmu You , Jisu Jung , Youngho Kang , Seungwu Han

Lithium thiophosphates (LPS) with the composition (Li$_2$S)$_x$(P$_2$S$_5$)$_{1-x}$ are among the most promising prospective electrolyte materials for solid-state batteries (SSBs), owing to their superionic conductivity at room temperature…

Materials Science · Physics 2022-01-28 Haoyue Guo , Qian Wang , Alexander Urban , Nongnuch Artrith

We study a newly predicted layered-ternary compound Ti4SiN3 in its {\alpha}- and {\beta}-phases. We calculate their mechanical, electronic and optical properties and then compare these with those of other compounds M4AX3 (M = V, Ti, Ta; A =…

Materials Science · Physics 2011-08-03 M. M. Hossain , M. S. Ali , A. K. M. A. Islam

Designing optimal formulations is a major challenge in developing electrolytes for the next generation of rechargeable batteries due to the vast combinatorial design space and complex interplay between multiple constituents. Machine…

The existing solid electrolytes for lithium ion batteries suffer from low total ionic conductivity, which restricts its usefulness for the lithium-ion battery technology. Among them, the NASICON-based materials, such as…

Chemical Physics · Physics 2020-08-03 K. Kwatek , W. Ślubowska , J. Trébosc , O. Lafon , J. L. Nowiński

Using a computational crystal structure search in the Li-Fe-B ternary system, we predict a stable phase of Li3Fe8B8, featuring 1D channels that enable rapid Li-ion transport. Ab initio molecular dynamics simulations show that the Li-ion…

We performed large-scale molecular dynamics simulations based on a machine-learning force field (MLFF) to investigate the Li-ion transport mechanism in cation-disordered Li$_3$TiCl$_6$ cathode at six different temperatures, ranging from…

Materials Science · Physics 2024-06-19 Selva Chandrasekaran Selvaraj , Volodymyr Koverga , Anh T. Ngo
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