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cond-mat.mtrl-sci2025
A predictive machine learning force field framework for liquid electrolyte development
Sheng Gong, Yumin Zhang, Zhenliang Mu +13
Despite the widespread applications of machine learning force fields (MLFF) in solids and small molecules, there is a notable gap in applying MLFF to simulate liquid electrolyte, a…
cond-mat.mtrl-sci2024
CrysToGraph: A Comprehensive Predictive Model for Crystal Materials Properties and the Benchmark
Hongyi Wang, Ji Sun, Jinzhe Liang +7
The ionic bonding across the lattice and ordered microscopic structures endow crystals with unique symmetry and determine their macroscopic properties. Unconventional crystals, in…