Machine‐Learning‐Assisted Design and Optimization of Single‐Atom Transition Metal‐Incorporated Carbon Quantum Dot Catalysts for Electrocatalytic Hydrogen Evolution Reaction

Machine‐Learning‐Assisted Design and Optimization of Single‐Atom Transition Metal‐Incorporated Carbon Quantum Dot Catalysts for Electrocatalytic Hydrogen Evolution Reaction

ABSTRACT Hydrogen evolution reaction (HER) in acidic media has been spotlighted for hydrogen production since it is a favourable kinetics with the supplied protons from a counterpart compared to that within alkaline environment. However, there is no choice but to use a platinum‐based catalyst yet. A...

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Main Authors: Unbeom Baeck, Min‐Cheol Kim, Duong Nguyen Nguyen, Jaekyum Kim, Jaehyoung Lim, Yujin Chae, Namsoo Shin, Heechae Choi, Joon Young Kim, Chan‐Hwa Chung, Woo‐Seok Choe, Ho Seok Park, Uk Sim, Jung Kyu Kim
Format: Article
Language:English
Published: Wiley 2025-07-01
Series:Carbon Energy
Subjects:
carbon quantum dot
density functional theory
hydrogen evolution reaction
machine learning
transition metal doping
Online Access:https://doi.org/10.1002/cey2.70006
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https://doi.org/10.1002/cey2.70006

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