Descriptor-Guided Isolated-Site Engineering Activates Layered V2O5 for Oxygen Evolution Catalysis

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Authors: Byoung Guan Lee, Monaam Benali, Min Kyu Choi, Jan Luxa, Vojtěch Kundrát, Jakub Zálešák, Ľubica Cenknerová, Yeongnam Ko, Zdeněk Sofer, Rui Gusmão, Ki Chul Kim
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Abstract

This preprint reports a combined theoretical and experimental investigation of transition-metal-incorporated layered V2O5 as an oxygen evolution reaction (OER) electrocatalyst platform. Descriptor-guided density functional theory screening identifies Fe-, Mn-, and Co-embedded V2O5 monolayers as optimal candidates with minimized theoretical overpotentials governed by the Gibbs free-energy difference between key OER intermediates and the transition-metal d-band center. Guided by these insights, TM-incorporated V2O5 materials are synthesized and experimentally validated, with Co@V2O5 demonstrating enhanced catalytic activity, favorable charge-transfer kinetics, and operational durability in alkaline electrolyte. The work establishes isolated-site engineering in layered oxides as a practical strategy linking electronic-structure descriptors to experimentally accessible catalytic motifs for efficient, earth-abundant OER catalysts.

Fields of Study & Subjects

Electrocatalysts for Energy Conversion Machine Learning in Materials Science CO2 Reduction Techniques and Catalysts

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
2 February 2026
Language
EN
Document type
Preprint