Efficient and transferable machine learning potentials for the simulation of crystal defects in bcc Fe and W (2021)

First Author: Goryaeva A
Attributed to:  Strategic Package: Centre for Predictive Modelling in Science and Engineering funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1103/physrevmaterials.5.103803

Publication URI: http://dx.doi.org/10.1103/physrevmaterials.5.103803

Type: Journal Article/Review

Parent Publication: Physical Review Materials

Issue: 10