Structure of an Ultrathin Oxide on Pt 3 Sn(111) Solved by Machine Learning Enhanced Global Optimization**

Author:

Merte Lindsay R.1ORCID,Bisbo Malthe Kjær2ORCID,Sokolović Igor3ORCID,Setvín Martin34ORCID,Hagman Benjamin5,Shipilin Mikhail5ORCID,Schmid Michael3ORCID,Diebold Ulrike3ORCID,Lundgren Edvin5ORCID,Hammer Bjørk2ORCID

Affiliation:

1. Materials Science and Applied Mathematics Malmö University 20506 Malmö Sweden

2. Center for Interstellar Catalysis Department of Physics and Astronomy Aarhus University 8000 Aarhus Denmark

3. Institute of Applied Physics TU Wien 1040 Vienna Austria

4. Department of Surface and Plasma Science Faculty of Mathematics and Physics Charles University 180 00 Prague 8 Czech Republic

5. Div. of Synchrotron Radiation Research Lund University 22100 Lund Sweden

Funder

Vetenskapsrådet

Knut och Alice Wallenbergs Stiftelse

Danmarks Grundforskningsfond

Villum Fonden

Austrian Science Fund

Publisher

Wiley

Subject

General Medicine

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Data‐Driven Machine Learning for Understanding Surface Structures of Heterogeneous Catalysts;Angewandte Chemie International Edition;2023-01-09

2. Atomistic structure search using local surrogate model;The Journal of Chemical Physics;2022-11-07

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