Moment tensor Potentials as a Promising Tool to Study Diffusion Processes

A recently proposed class of machine-learning interatomic potentials --- Moment tensor potentials (MTPs) --- is investigated in this work. MTPs are able to actively select configurations and parametrize the potential on-the-fly. It is shown that MTPs accurately reproduce energies, forces and stresse...

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Bibliographic Details
Main Authors: Novoselov, I. I, Yanilkin, A. V, Shapeev, A. V, Podryabinkin, E. V
Format: Journal Article
Language:English
Published: 07-12-2018
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Summary:A recently proposed class of machine-learning interatomic potentials --- Moment tensor potentials (MTPs) --- is investigated in this work. MTPs are able to actively select configurations and parametrize the potential on-the-fly. It is shown that MTPs accurately reproduce energies, forces and stresses calculated ab initio. As a more comprehensive test, MTPs are employed to calculate vacancy diffusion rates in Al, Mo and Si. We demonstrate that the results are in a good agreement with ab initio data for the materials considered.
DOI:10.48550/arxiv.1812.02946