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Machine learning enabled rational design of atomic catalysts for electrochemical reactions

Lianping Wu, Teng Li

2023Materials Chemistry Frontiers17 citationsDOI

Abstract

Atomic catalysts (ACs) with unique catalytic properties have emerged as promising high-performance catalysts because of their great potential for enabling the efficient use of metal resources and achieving atomic economy.

Topics & Concepts

CatalysisMaterials scienceElectrochemistryRational designNanotechnologyMetalChemistryMetallurgyPhysical chemistryOrganic chemistryElectrodeElectrocatalysts for Energy ConversionMachine Learning in Materials ScienceAdvanced Photocatalysis Techniques
Machine learning enabled rational design of atomic catalysts for electrochemical reactions | Litcius