View in EDS

Finding discrete symmetry groups via machine learning.

Saved in:
Bibliographic Details
Title: Finding discrete symmetry groups via machine learning.
Authors: Calvo-Barlés P; https://ror.org/031n2c920'>Instituto de Nanociencia y Materiales de Aragón (INMA), CSIC-https://ror.org/012a91z28'>Universidad de Zaragoza, Zaragoza 50009, Spain.; Departamento de Física de la Materia Condensada, https://ror.org/012a91z28'>Universidad de Zaragoza, Zaragoza 50009, Spain., Rodrigo SG; https://ror.org/031n2c920'>Instituto de Nanociencia y Materiales de Aragón (INMA), CSIC-https://ror.org/012a91z28'>Universidad de Zaragoza, Zaragoza 50009, Spain.; Departamento de Física Aplicada, https://ror.org/012a91z28'>Universidad de Zaragoza, Zaragoza 50009, Spain., Sánchez-Burillo E; PredictLand S.L., Zaragoza 50001, Spain., Martín-Moreno L; https://ror.org/031n2c920'>Instituto de Nanociencia y Materiales de Aragón (INMA), CSIC-https://ror.org/012a91z28'>Universidad de Zaragoza, Zaragoza 50009, Spain.; Departamento de Física de la Materia Condensada, https://ror.org/012a91z28'>Universidad de Zaragoza, Zaragoza 50009, Spain.
Source: Physical review. E [Phys Rev E] 2024 Oct; Vol. 110 (4-2), pp. 045304.
Publication Type: Journal Article
Journal Info: Publisher: American Physical Society Country of Publication: United States NLM ID: 101676019 Publication Model: Print Cited Medium: Internet ISSN: 2470-0053 (Electronic) Linking ISSN: 24700045 NLM ISO Abbreviation: Phys Rev E Subsets: MEDLINE; PubMed not MEDLINE
Database: MEDLINE Ultimate
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 39562905
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Finding discrete symmetry groups via machine learning.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Calvo-Barlés+P%22">Calvo-Barlés P</searchLink>; <a href='https://ror.org/031n2c920'>Instituto de Nanociencia y Materiales de Aragón (INMA)</a>, CSIC-<a href='https://ror.org/012a91z28'>Universidad de Zaragoza</a>, Zaragoza 50009, Spain.; Departamento de Física de la Materia Condensada, <a href='https://ror.org/012a91z28'>Universidad de Zaragoza</a>, Zaragoza 50009, Spain.<br /><searchLink fieldCode="AU" term="%22Rodrigo+SG%22">Rodrigo SG</searchLink>; <a href='https://ror.org/031n2c920'>Instituto de Nanociencia y Materiales de Aragón (INMA)</a>, CSIC-<a href='https://ror.org/012a91z28'>Universidad de Zaragoza</a>, Zaragoza 50009, Spain.; Departamento de Física Aplicada, <a href='https://ror.org/012a91z28'>Universidad de Zaragoza</a>, Zaragoza 50009, Spain.<br /><searchLink fieldCode="AU" term="%22Sánchez-Burillo+E%22">Sánchez-Burillo E</searchLink>; PredictLand S.L., Zaragoza 50001, Spain.<br /><searchLink fieldCode="AU" term="%22Martín-Moreno+L%22">Martín-Moreno L</searchLink>; <a href='https://ror.org/031n2c920'>Instituto de Nanociencia y Materiales de Aragón (INMA)</a>, CSIC-<a href='https://ror.org/012a91z28'>Universidad de Zaragoza</a>, Zaragoza 50009, Spain.; Departamento de Física de la Materia Condensada, <a href='https://ror.org/012a91z28'>Universidad de Zaragoza</a>, Zaragoza 50009, Spain.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101676019%22">Physical review. E</searchLink> [Phys Rev E] 2024 Oct; Vol. 110 (4-2), pp. 045304.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22American+Physical+Society%22">American Physical Society </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101676019 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>2470-0053 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2224700045%22">24700045 </searchLink><i>NLM ISO Abbreviation: </i>Phys Rev E <i>Subsets: </i>MEDLINE; PubMed not MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=39562905
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1103/PhysRevE.110.045304
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 045304
    Titles:
      – TitleFull: Finding discrete symmetry groups via machine learning.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Calvo-Barlés P
      – PersonEntity:
          Name:
            NameFull: Rodrigo SG
      – PersonEntity:
          Name:
            NameFull: Sánchez-Burillo E
      – PersonEntity:
          Name:
            NameFull: Martín-Moreno L
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 10
              Text: 2024 Oct
              Type: published
              Y: 2024
          Identifiers:
            – Type: issn-electronic
              Value: 2470-0053
          Numbering:
            – Type: volume
              Value: 110
            – Type: issue
              Value: 4-2
          Titles:
            – TitleFull: Physical review. E
              Type: main
ResultId 1