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An accurate and transferable machine learning interatomic potential for nickel

An accurate and transferable machine learning interatomic potential for nickel

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2aff7926316a48cabbf7ef1717d72d30

An accurate and transferable machine learning interatomic potential for nickel

About this item

Full title

An accurate and transferable machine learning interatomic potential for nickel

Publisher

London: Nature Publishing Group UK

Journal title

Communications materials, 2024-08, Vol.5 (1), p.157-12, Article 157

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Nickel (Ni) is a magnetic transition metal with two allotropic phases, stable face-centered cubic (FCC) and metastable hexagonal close-packed (HCP), widely used in structural applications. Magnetism affects many mechanical and defect properties, but spin-polarized density functional theory (DFT) calculations are computationally inefficient for stud...

Alternative Titles

Full title

An accurate and transferable machine learning interatomic potential for nickel

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_2aff7926316a48cabbf7ef1717d72d30

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2aff7926316a48cabbf7ef1717d72d30

Other Identifiers

ISSN

2662-4443

E-ISSN

2662-4443

DOI

10.1038/s43246-024-00603-3

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