Litcius/Paper detail

Machine learning assisted high-throughput screening of transition metal single atom based superb hydrogen evolution electrocatalysts

Muhammad Umer, Sohaib Umer, Mohammad Zafari, Miran Ha, Rohit Anand, Amir Hajibabaei, Ather Abbas, Geunsik Lee, Kwang S. Kim

2022Journal of Materials Chemistry A166 citationsDOIOpen Access PDF

Abstract

Carbon-based transition metal (TM) single-atom catalysts (SACs) have shown great potential toward electrochemical water splitting and H 2 production.

Topics & Concepts

Transition metalElectrochemistryThroughputCatalysisAtom (system on chip)Water splittingHydrogen atomCarbon fibersHydrogenElectrocatalystMaterials scienceMetalNanotechnologyChemistryPhysical chemistryMetallurgyElectrodeComputer scienceTelecommunicationsWirelessOrganic chemistryComposite numberEmbedded systemBiochemistryComposite materialAlkylPhotocatalysisElectrocatalysts for Energy ConversionMachine Learning in Materials ScienceAmmonia Synthesis and Nitrogen Reduction
Machine learning assisted high-throughput screening of transition metal single atom based superb hydrogen evolution electrocatalysts | Litcius