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Breaking adsorption-energy scaling limitations of electrocatalytic nitrate reduction on intermetallic CuPd nanocubes by machine-learned insights

Machine learning is a powerful tool for screening electrocatalytic materials. Here, the authors reported a seamless integration of machine-learned physical insights with the controlled synthesis of structurally ordered intermetallic nanocrystals and well-defined catalytic sites for efficient nitrate...

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Príomhchruthaitheoirí: Qiang Gao, Hemanth Somarajan Pillai, Yang Huang, Shikai Liu, Qingmin Mu, Xue Han, Zihao Yan, Hua Zhou, Qian He, Hongliang Xin, Huiyuan Zhu
Formáid: Artigo
Teanga:Inglês
Foilsithe / Cruthaithe: Nature Portfolio 2022-04-01
Sraith:Nature Communications
Rochtain ar líne:https://doi.org/10.1038/s41467-022-29926-w
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