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Multiscale modeling meets machine learning: What can we learn?
Peng, Grace C Y; Alber, Mark; Tepole, Adrian Buganza; Cannon, William R; De, Suvranu; Dura-Bernal, Salvador; Garikipati, Krishna; Karniadakis, George; Lytton, William W; Perdikaris, Paris; Petzold, Linda; Kuhl, Ellen.
Afiliação
  • Peng GCY; National Institutes of Health, Bethesda, Maryland, USA.
  • Alber M; University of California, Riverside, USA.
  • Tepole AB; Purdue University, Lafayette, Indiana, USA.
  • Cannon WR; Pacific Northwest National Laboratory, Richland, Washington, USA.
  • De S; Rensselaer Polytechnic Institute, Troy, New York, USA.
  • Dura-Bernal S; State University of New York, New York, USA.
  • Garikipati K; University of Michigan Ann Arbor, Michigan, USA.
  • Karniadakis G; Brown University, Providence, Rhode Island, USA.
  • Lytton WW; State University of New York, New York, USA.
  • Perdikaris P; University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Petzold L; University of California, Santa Barbara, California, USA.
  • Kuhl E; Stanford University, Stanford, California, USA.
Arch Comput Methods Eng ; 28(3): 1017-1037, 2021 May.
Article em En | MEDLINE | ID: mdl-34093005
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
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XML
PubMed Links
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article