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Structure of an Ultrathin Oxide on Pt3 Sn(111) Solved by Machine Learning Enhanced Global Optimization.
Merte, Lindsay R; Bisbo, Malthe Kjaer; Sokolovic, Igor; Setvín, Martin; Hagman, Benjamin; Shipilin, Mikhail; Schmid, Michael; Diebold, Ulrike; Lundgren, Edvin; Hammer, Bjørk.
Afiliação
  • Merte LR; Materials Science and Applied Mathematics, Malmö University, 20506, Malmö, Sweden.
  • Bisbo MK; Center for Interstellar Catalysis, Department of Physics and Astronomy, Aarhus University, 8000, Aarhus, Denmark.
  • Sokolovic I; Institute of Applied Physics, TU Wien, 1040, Vienna, Austria.
  • Setvín M; Institute of Applied Physics, TU Wien, 1040, Vienna, Austria.
  • Hagman B; Department of Surface and Plasma Science, Faculty of Mathematics and Physics, Charles University, 180 00, Prague 8, Czech Republic.
  • Shipilin M; Div. of Synchrotron Radiation Research, Lund University, 22100, Lund, Sweden.
  • Schmid M; Div. of Synchrotron Radiation Research, Lund University, 22100, Lund, Sweden.
  • Diebold U; Institute of Applied Physics, TU Wien, 1040, Vienna, Austria.
  • Lundgren E; Institute of Applied Physics, TU Wien, 1040, Vienna, Austria.
  • Hammer B; Div. of Synchrotron Radiation Research, Lund University, 22100, Lund, Sweden.
Angew Chem Int Ed Engl ; 61(25): e202204244, 2022 Jun 20.
Article em En | MEDLINE | ID: mdl-35384213
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Angew Chem Int Ed Engl Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Angew Chem Int Ed Engl Ano de publicação: 2022 Tipo de documento: Article