1 citations · 1 across the 2 of their papers we have counts for
2 papers
cond-mat.dis-nn2025
Transferable potential for molecular dynamics simulations of borosilicate glasses and structural comparison of machine learning optimized parameters
Kai Yang, Ruoxia Chen, Anders K. R. Christensen +4
The simulation of borosilicate glasses is challenging due to the composition and temperature dependent coordination state of boron atoms. Here, we present a newly developed machine…
cond-mat.mtrl-sci2024★ 1 cited
Force field optimization by end-to-end differentiable atomistic simulation
Abhijeet S. Gangan, Samuel S. Schoenholz, Ekin Dogus Cubuk +2
The accuracy of atomistic simulations depends on the precision of force fields. Traditional numerical methods often struggle to optimize the empirical force field parameters for re…