Machine-learning interatomic potential for radiation damage and defects in tungsten

Year of publication

2019

Authors

Byggmästar, Jesper; Hamedani, Ali; Nordlund, Kai; Djurabekova, Flyura

Organizations and authors

University of Helsinki

Hamedani Ali

Djurabekova Flyura

Byggmästar Jesper

Nordlund Kai

Publication type

Publication format

Article

Parent publication type

Journal

Article type

Original article

Audience

Scientific

Peer-reviewed

Peer-Reviewed

MINEDU's publication type classification code

A1 Journal article (refereed), original research

Publication channel information

Journal/Series

Physical Review B

Parent publication name

Physical Review B

Volume

100

Issue

Article number

144105

ISSN

2469-9950

Publication forum

84525

Publication forum level

Open access

Open access in the publisher’s service

Self-archived

Yes

Other information

Fields of science

Physical sciences

Keywords

[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Publication country

United States

Internationality of the publisher

International

Language

English

International co-publication

Yes

Co-publication with a company

DOI

10.1103/PhysRevB.100.144105

The publication is included in the Ministry of Education and Culture’s Publication data collection

Yes