Can machine learning efficiently predict symmetry breaking in physical problems like Bose-Einstein condensates?-Reference-Cited by-同舟云学术

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Can machine learning efficiently predict symmetry breaking in physical problems like Bose-Einstein condensates?

Published:2024-08 Issue: Volume:464 Page:134198
ISSN:0167-2789
Container-title:Physica D: Nonlinear Phenomena
language:en
Short-container-title:Physica D: Nonlinear Phenomena

Author:

Miranda Bruno M.,de Almeida Agnaldo R.,Avelar Ardiley T.,Cardoso Wesley B.^ORCID,Colherinhas Guilherme

Funder

Fundação de Amparo à Pesquisa do Estado de Goiás

Conselho Nacional de Desenvolvimento Cientifico e Tecnologico

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Instituto Nacional de Ciência e Tecnologia de Informação Quântica

Publisher

Elsevier BV

Reference59 articles.

1. Quantentheorie des einatomigen idealen Gases;Einstein,2005

2. Observation of Bose-Einstein condensation in a dilute atomic vapor;Anderson;Science (1979),1995

3. Bose-Einstein condensation in a gas of sodium atoms;Davis;Phys. Rev. Lett.,1995

4. Evidence of Bose-Einstein condensation in an atomic gas with attractive interactions;Bradley;Phys. Rev. Lett.,1995

5. Dark solitons in bose-einstein condensates;Burger;Phys. Rev. Lett.,1999

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