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cond-mat.mtrl-sci2026

Redox-Active Halide Materials for Cathode Applications

Zhuohan Li, Gerbrand Ceder

Electrochemically redox-active halide (eREAL) materials are an emerging class of materials that combine high Li-ion conductivity with transition-metal redox activity, making them p…

cond-mat.mtrl-sci2025

The Interplay Between Electron Localization, Magnetic Order, and Jahn-Teller Distortion that Dictates LiMnO Phase Stability

Ronald L. Kam, Luca Binci, Aaron D. Kaplan +3

The development of Mn-rich cathodes for Li-ion batteries promises to alleviate supply chain bottlenecks in battery manufacturing. Challenges in Mn-rich cathodes arise from Jahn-Tel…

cond-mat.mtrl-sci2025

A practical guide to machine learning interatomic potentials -- Status and future

Ryan Jacobs, Dane Morgan, Siamak Attarian +27

The rapid development and large body of literature on machine learning interatomic potentials (MLIPs) can make it difficult to know how to proceed for researchers who are not exper…

cond-mat.mtrl-sci2025

Effect of cation-disorder on lithium transport in halide superionic conductors

Peichen Zhong, Sunny Gupta, Bowen Deng +2

LiZrCl (LZC) is a promising solid-state electrolyte due to its affordability, moisture stability, and high ionic conductivity. We computationally investigate the role of ca…

cond-mat.mtrl-sci2024

Matbench Discovery -- A framework to evaluate machine learning crystal stability predictions

Janosh Riebesell, Rhys E. A. Goodall, Philipp Benner +7

The rapid adoption of machine learning (ML) in domain sciences necessitates best practices and standardized benchmarking for performance evaluation. We present Matbench Discovery,…

cond-mat.mtrl-sci2024

Voltage Mining for (De)lithiation-stabilized Cathodes and a Machine Learning Model for Li-ion Cathode Voltage

Haoming Howard Li, Qian Chen, Gerbrand Ceder +1

Advances in lithium-metal anodes have inspired interest in discovery of Li-free cathodes, most of which are natively found in their charged state. This is in contrast to today's co…