most citedEfficient Long-Range Machine Learning Force Fields for Liquid and Materials Properties

7 citations · 7 across the 1 of their papers we have counts for

collaborators

1 paper

physics.chem-ph2025

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…