Calculation of dislocation binding to helium-vacancy defects in tungsten using hybrid ab initio-machine learning methods (2023)
Attributed to:
Reducing Risk through Uncertainty Quantification for Past, Present and Future Generations of Nuclear Power Plant
funded by
EPSRC
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