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Efficient Machine-Learning-Aided Screening of Hydrogen Adsorption on Bimetallic Nanoclusters

Marc O. J. Jäger, Yashasvi S. Ranawat, Filippo Federici Canova, Eiaki V. Morooka, Adam S. Foster

2020ACS Combinatorial Science40 citationsDOIOpen Access PDF

Abstract

is correlated strongly with adsorption energies and could be a useful screening property accessible at the nanocluster level.

Topics & Concepts

NanoclustersBimetallic stripWorkflowAdsorptionChemistryIcosahedral symmetryNanotechnologyCatalysisChemical physicsComputer scienceMaterials sciencePhysical chemistryCrystallographyOrganic chemistryDatabaseMachine Learning in Materials ScienceElectrocatalysts for Energy ConversionAdvanced Chemical Physics Studies
Efficient Machine-Learning-Aided Screening of Hydrogen Adsorption on Bimetallic Nanoclusters | Litcius