finite element modeling 1heat transfer 1machine learning potentials 1molecular dynamics 1molten salt reactors 1
From the 1 of 2 linked papers with an AI index.
2 papers
cond-mat.mtrl-sci2026
Integrating moment tensor potentials with finite-element modeling for heat transfer prediction in FLiBe-based molten salt systems
Mikhail Polovinkin, Ksenia Abramova, Oksana Rahmanova +8
The paper presents a multiscale framework that combines machine‑learning‑trained atomistic potentials with finite‑element simulations to predict heat‑transfer performance of FLiBe‑…
cond-mat.mtrl-sci2026
Machine-Learned Interatomic Potentials for Predicting Physicochemical Properties of Molten Metal-Salt Systems for Calcium Electrolysis
M. Polovinkin, N. Rybin, D. Maksimov +5
The design of efficient electrolysis devices for pure metal production requires accurate data on the properties of the melts used in the process. This work focuses on two key syste…