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...
Saved in:
Main Authors: | , , , |
---|---|
Format: | Journal Article |
Language: | English |
Published: |
07-12-2018
|
Subjects: | |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
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 |