Multifunctional electrocatalysis on transition metal-doped biphenylene: a first-principles and machine learning study of single-atom catalysts for HER, OER, and ORR
Abstract
Machine-learning-assisted DFT screening identifies high-performance TM single-atom catalysts on biphenylene for electrochemical HER/OER/ORR.
Fields of Study & Subjects
Electrocatalysts for Energy Conversion
Ammonia Synthesis and Nitrogen Reduction
Machine Learning in Materials Science
Publication details
- Journal / source
- Journal of Materials Chemistry A
- Publisher
- Royal Society of Chemistry (RSC)
- Volume
- 14
- Issue
- 18
- Pages
- 10891–10902
- Publication date
- 1 January 2026
- Language
- EN