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