Insights on the capabilities and improvement ability of classical many-body potentials: Application to <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si325.svg" display="inline" id="d1e1751"><mml:mi>α</mml:mi></mml:math>-zirconium-Reference-Cited by-同舟云学术

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Insights on the capabilities and improvement ability of classical many-body potentials: Application to α-zirconium

Published:2024-01 Issue: Volume:231 Page:112544
ISSN:0927-0256
Container-title:Computational Materials Science
language:en
Short-container-title:Computational Materials Science

Author:

Del Masto Alessandra^ORCID,Baccou Jean,Tréglia Guy,Ribeiro Fabienne^ORCID,Varvenne Céline^ORCID

Funder

French National Research Agency

Institute of Radiation Protection and Nuclear Safety

Centre National de la Recherche Scientifique

Publisher

Elsevier BV

Subject

Computational Mathematics,General Physics and Astronomy,Mechanics of Materials,General Materials Science,General Chemistry,General Computer Science

Reference85 articles.

1. Machine-learning interatomic potentials for materials science;Mishin;Acta Mater.,2021

2. Deformation-mechanism map for nanocrystalline metals by molecular-dynamics simulations;Yamakov;Nature Mater.,2004

3. A mechanism for basal vacancy loop formation in zirconium;Dai;Scr. Mater.,2019

4. Mechanism and energetics of dislocation cross-slip in HCP metals;Wu;Proc. Natl. Acad. Sci.,2016

5. Observation of transient and asymptotic driven structural states of tungsten exposed to radiation;Mason;Phys. Rev. Lett.,2020

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