Machine learning driven rational design of dual atom catalysts on graphene for carbon dioxide electroreduction

Dongxu Jiao; Xinyi Li; Mingzi Sun; Lin Liu; Jinchang Fan; Jingxiang Zhao; Bolong Huang; Xiaoqiang Cui

doi:10.26599/nr.2025.94907044

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Machine learning driven rational design of dual atom catalysts on graphene for carbon dioxide electroreduction

Dongxu Jiao Xinyi Li Mingzi Sun Lin Liu Jinchang Fan Jingxiang Zhao Bolong Huang Xiaoqiang Cui

Year: 2024 Journal: Nano Research Vol: 18 (1)Pages: 94907044-94907044 Publisher: Springer Science+Business Media

DOI: 10.26599/nr.2025.94907044

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Keywords:

Graphene Dual (grammatical number) Rational design Carbon dioxide Catalysis Atom (system on chip) Materials science Nanotechnology Carbon atom Chemical engineering Combinatorial chemistry Chemistry Organic chemistry Computer science Engineering Ring (chemistry)

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Machine Learning in Materials Science

Physical Sciences → Materials Science → Materials Chemistry

CO2 Reduction Techniques and Catalysts

Physical Sciences → Energy → Renewable Energy, Sustainability and the Environment

Catalytic Processes in Materials Science

Physical Sciences → Materials Science → Materials Chemistry

Machine learning driven rational design of dual atom catalysts on graphene for carbon dioxide electroreduction

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