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physics.chem-ph2025★ 1 cited
Reaction dynamics of lithium-mediated electrolyte decomposition using machine learning potentials
Sohang Kundu, Diana Chamaki, Hong-Zhou Ye +2
We study the ring-opening decomposition of ethylene carbonate in the presence of a single lithium atom and on the surface of lithium metal. Combining accurate electronic structure…
physics.chem-ph2025★ 7 cited
Efficient Long-Range Machine Learning Force Fields for Liquid and Materials Properties
John L. Weber, Rishabh D. Guha, Garvit Agarwal +10
Machine learning force fields (MLFFs) have emerged as a sophisticated tool for cost-efficient atomistic simulations approaching DFT accuracy, with recent message passing MLFFs able…