📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Calculation of dislocation binding to helium-vacancy defects in tungsten using hybrid ab initio-machine learning methods (2023)

First Author: Grigorev P

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1016/j.actamat.2023.118734

Publication URI: http://dx.doi.org/10.1016/j.actamat.2023.118734

Type: Journal Article/Review

Parent Publication: Acta Materialia