Structure of an Ultrathin Oxide on Pt3 Sn(111) Solved by Machine Learning Enhanced Global Optimization.

Saved in:
Bibliographic Details
Title: Structure of an Ultrathin Oxide on Pt3 Sn(111) Solved by Machine Learning Enhanced Global Optimization.
Authors: 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., Sokolović I; Institute of Applied Physics, TU Wien, 1040, Vienna, Austria., Setvín M; Institute of Applied Physics, TU Wien, 1040, Vienna, Austria.; Department of Surface and Plasma Science, Faculty of Mathematics and Physics, Charles University, 180 00, Prague 8, Czech Republic., Hagman B; Div. of Synchrotron Radiation Research, Lund University, 22100, Lund, Sweden., Shipilin M; Div. of Synchrotron Radiation Research, Lund University, 22100, Lund, Sweden., Schmid M; Institute of Applied Physics, TU Wien, 1040, Vienna, Austria., Diebold U; Institute of Applied Physics, TU Wien, 1040, Vienna, Austria., Lundgren E; Div. of Synchrotron Radiation Research, Lund University, 22100, Lund, Sweden., Hammer B; Center for Interstellar Catalysis, Department of Physics and Astronomy, Aarhus University, 8000, Aarhus, Denmark.
Source: Angewandte Chemie (International ed. in English) [Angew Chem Int Ed Engl] 2022 Jun 20; Vol. 61 (25), pp. e202204244. Date of Electronic Publication: 2022 Apr 29.
Publication Type: Journal Article
Journal Info: Publisher: Wiley-VCH Country of Publication: Germany NLM ID: 0370543 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1521-3773 (Electronic) Linking ISSN: 14337851 NLM ISO Abbreviation: Angew Chem Int Ed Engl Subsets: MEDLINE; PubMed not MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
Description
ISSN:1521-3773
DOI:10.1002/anie.202204244