collaborators

19 papers

cond-mat.mtrl-sci2026

Harnessing X-ray Absorption Spectroscopy Data through Multimodal Mining of Battery Literature

Tanjin He, Aikaterini Vriza, Logan Ward +7

X-ray absorption spectroscopy (XAS) is central to understanding the local electronic and atomic structure of materials, yet most published spectra remain inaccessible to data-drive…

cond-mat.mtrl-sci2026

Thermodynamic accessibility of Li-Mn-Ti-O cation disordered rock-salt phases

Ronald L. Kam, Shilong Wang, Gerbrand Ceder

Disordered rock-salt with Li-excess (DRX) cathode phases within the Li-Mn-Ti-O (LMTO) composition space have recently been extensively studied, as they promise to deliver exception…

cond-mat.mtrl-sci2026

Crystallographic Challenges in Microscopy of Multidomain Spinel Materials

Ninon Scherz, Shashwat Anand, Colin Ophus +4

Electron microscopy techniques are instrumental in the characterization of energy storage materials, with atomic resolution images providing the detailed structural features that a…

cond-mat.mtrl-sci2026

Hierarchical high-throughput screening of alkaline-stable lithium-ion conductors combining machine learning and first-principles calculations

Zhuohan Li, KyuJung Jun, Bowen Deng +1

Solid-state batteries require lithium-ion conductors that combine high ionic conductivity with stability under harsh electrochemical and chemical conditions. Here, we investigate t…

cond-mat.mtrl-sci2026

Generative Models for Crystalline Materials

Houssam Metni, Laura Ruple, Lauren N. Walters +13

Understanding structure-property relationships in materials is fundamental in condensed matter physics and materials science. Over the past few years, machine learning (ML) has eme…

cs.DC2026

DistMLIP: A Distributed Inference Platform for Machine Learning Interatomic Potentials

Kevin Han, Bowen Deng, Amir Barati Farimani +1

Large-scale atomistic simulations are essential to bridge computational materials and chemistry to realistic materials and drug discovery applications. In the past few years, rapid…