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Searching for the ground state of complex spin-ice systems using deep learning techniques

Searching for the ground state of complex spin-ice systems using deep learning techniques

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_85b5a9c70edc45c3924854c12f516af8

Searching for the ground state of complex spin-ice systems using deep learning techniques

About this item

Full title

Searching for the ground state of complex spin-ice systems using deep learning techniques

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2022-09, Vol.12 (1), p.15026-15026, Article 15026

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Searching for the ground state of a given system is one of the most fundamental and classical questions in scientific research fields. However, when the system is complex and large, it often becomes an intractable problem; there is essentially no possibility of finding a global energy minimum state with reasonable computational resources. Recently,...

Alternative Titles

Full title

Searching for the ground state of complex spin-ice systems using deep learning techniques

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_85b5a9c70edc45c3924854c12f516af8

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_85b5a9c70edc45c3924854c12f516af8

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-022-19312-3

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