Overcoming the chemical complexity bottleneck in on-the-fly machine learned molecular dynamics simulations

Lucas R. Timmerman; Shashikant Kumar; Phanish Suryanarayana; Andrew J. Medford

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arXiv · 2404.07961

Overcoming the chemical complexity bottleneck in on-the-fly machine learned molecular dynamics simulations

Lucas R. Timmerman·Shashikant Kumar·Phanish Suryanarayana·Andrew J. Medford

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Abstract

We develop a framework for on-the-fly machine learned force field molecular dynamics simulations based on the multipole featurization scheme that overcomes the bottleneck with the number of chemical elements. Considering bulk systems with up to 6 elements, we demonstrate that the number of density functional theory calls remains approximately independent of the number of chemical elements, in contrast to the increase in the smooth overlap of atomic positions scheme.

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Lucas R. Timmerman, Shashikant Kumar, Phanish Suryanarayana, Andrew J. Medford. 2024-04-11. Overcoming the chemical complexity bottleneck in on-the-fly machine learned molecular dynamics simulations. https://arxiv.org/abs/2404.07961

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