Accelerating high-throughput searches for new alloys with active learning of interatomic potentials

Title
Accelerating high-throughput searches for new alloys with active learning of interatomic potentials
Authors
Keywords
Alloy phase prediction, Machine learning, Active learning, Interatomic potentials, Cluster expansion, Moment Tensor Potentials
Journal
COMPUTATIONAL MATERIALS SCIENCE
Volume 156, Issue -, Pages 148-156
Publisher
Elsevier BV
Online
2018-09-28
DOI
10.1016/j.commatsci.2018.09.031

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