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Modeling and scale-bridging using machine learning: nanoconfinement effects in porous media.
Lubbers, Nicholas; Agarwal, Animesh; Chen, Yu; Son, Soyoun; Mehana, Mohamed; Kang, Qinjun; Karra, Satish; Junghans, Christoph; Germann, Timothy C; Viswanathan, Hari S.
Afiliação
  • Lubbers N; Information Sciences Group, Computer, Computational and Statistical Sciences Division, Los Alamos National Laboratory, Los Alamos, NM, 87545, USA. nlubbers@lanl.gov.
  • Agarwal A; Theoretical Biology and Biophysics Group, Theoretical Division, Los Alamos National Laboratory, Los Alamos, NM, 87545, USA.
  • Chen Y; Computational Earth Science Group, Earth and Environmental Sciences Division, Los Alamos National Laboratory, Los Alamos, NM, 87545, USA.
  • Son S; Institut des Sciences de la Terre, Université Grenoble Alpes, Grenoble, France.
  • Mehana M; Geophysics Group, Earth and Environmental Sciences Division, Los Alamos National Laboratory, Los Alamos, NM, 87545, USA.
  • Kang Q; Computational Earth Science Group, Earth and Environmental Sciences Division, Los Alamos National Laboratory, Los Alamos, NM, 87545, USA.
  • Karra S; Computational Earth Science Group, Earth and Environmental Sciences Division, Los Alamos National Laboratory, Los Alamos, NM, 87545, USA.
  • Junghans C; Computational Earth Science Group, Earth and Environmental Sciences Division, Los Alamos National Laboratory, Los Alamos, NM, 87545, USA.
  • Germann TC; Applied Computer Science Group, Computer, Computational and Statistical Sciences Division, Los Alamos National Laboratory, Los Alamos, NM, 87545, USA.
  • Viswanathan HS; Physics and Chemistry of Materials Group, Theoretical Division, Los Alamos National Laboratory, Los Alamos, NM, 87545, USA.
Sci Rep ; 10(1): 13312, 2020 Aug 07.
Article em En | MEDLINE | ID: mdl-32770012

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Sci Rep Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Sci Rep Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Reino Unido