Vacancy defects impede the transition from peapods to diamond: a neuroevolution machine learning study-Reference-Cited by-同舟云学术

Vacancy defects impede the transition from peapods to diamond: a neuroevolution machine learning study

Published:2023 Issue:37 Volume:25 Page:25629-25638
ISSN:1463-9076
Container-title:Physical Chemistry Chemical Physics
language:en
Short-container-title:Phys. Chem. Chem. Phys.

Author:

Li Yu¹^ORCID,Jiang Jin-Wu¹²^ORCID

Affiliation:

1. Shanghai Key Laboratory of Mechanics in Energy Engineering, Shanghai Institute of Applied Mathematics and Mechanics, Shanghai Frontier Science Center of Mechanoinformatics, School of Mechanics and Engineering Science, Shanghai University, Shanghai 200072, P. R. China

2. Zhejiang Laboratory, Hangzhou 311100, China

Abstract

The effect of vacancy defects on structural transitions in carbon peapods is investigated via developed machine-learned potential based on the neuroevolution potential framework.

Funder

National Natural Science Foundation of China

Shanghai Municipal Education Commission

Publisher

Royal Society of Chemistry (RSC)

Subject

Physical and Theoretical Chemistry,General Physics and Astronomy

Link

http://pubs.rsc.org/en/content/articlepdf/2023/CP/D3CP03862A

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