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finite element modeling 1heat transfer 1machine learning potentials 1molecular dynamics 1molten salt reactors 1

From the 1 of 9 linked papers with an AI index.

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20242026
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physics.chem-ph2026

Active learning and explicit electrostatics enable accurate modeling of electrolytes

Olga Chalykh, Mikhail Polovinkin, Dmitry Korogod +2

Machine learning interatomic potentials (MLIPs) offer near-\textit{ab initio} accuracy with the efficiency of classical force fields, making them attractive for modeling electrolyt…