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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Автори:	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
Формат:	Artigo
Мова:	Inglês
Опубліковано:	Wiley 2025-07-01
Серія:	Carbon Energy
Предмети:	carbon quantum dot density functional theory hydrogen evolution reaction machine learning transition metal doping
Онлайн доступ:	https://doi.org/10.1002/cey2.70006
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