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Automated exploitation of the big configuration space of large adsorbates on transition metals reveals chemistry feasibility

Journal Article · · Nature Communications
 [1];  [2];  [3];  [2]
  1. Korea Institute of Energy Technology, Naju (Korea, Republic of); Korea Advanced Inst. Science and Technology (KAIST), Daejeon (Korea, Republic of); Korean Institute of Energy Technology (KIST), Naju (Korea, Republic of)
  2. University of Delaware, Newark, DE (United States)
  3. Korea Advanced Inst. Science and Technology (KAIST), Daejeon (Korea, Republic of)
Mechanistic understanding of large molecule conversion and the discovery of suitable heterogeneous catalysts have been lagging due to the combinatorial inventory of intermediates and the inability of humans to enumerate all structures. Here, we introduce an automated framework to predict stable configurations on transition metal surfaces and demonstrate its validity for adsorbates with up to 6 carbon and oxygen atoms on 11 metals, enabling the exploration of ~108 potential configurations. It combines a graph enumeration platform, force field, multi-fidelity DFT calculations, and first-principles trained machine learning. Clusters in the data reveal groups of catalysts stabilizing different structures and expose selective catalysts for showcase transformations, such as the ethylene epoxidation on Ag and Cu and the lack of C-C scission chemistry on Au. Deviations from the commonly assumed atom valency rule of small adsorbates are also manifested. This library can be leveraged to identify catalysts for converting large molecules computationally.
Research Organization:
University of Delaware, Newark, DE (United States)
Sponsoring Organization:
Ministry of Science and ICT; National Research Foundation of Korea; USDOE Office of Science (SC), Basic Energy Sciences (BES)
Grant/Contract Number:
SC0001004
OSTI ID:
1904561
Journal Information:
Nature Communications, Journal Name: Nature Communications Journal Issue: 1 Vol. 13; ISSN 2041-1723
Publisher:
Nature Publishing GroupCopyright Statement
Country of Publication:
United States
Language:
English

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