Published Sep. 25, 2020 1:43 PM

Describing geological processes on the nanoscale is challenging, partly because current molecular dynamics force fields for geologically relevant materials work well only within a moderate range of conditions. In this project, we aim at developing a systematic machine-learning based method for tailoring force fields to geologically relevant simulation conditions, to study the emergent properties robustly.