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Interpretable design of Ir-free trimetallic electrocatalysts for ammonia oxidation with graph neural networks

Electrochemical conversion of ammonia to nitrogen has important energy and environmental applications but is hindered by lack of efficient electrocatalysts. Here the authors use quantum chemistry and machine learning to gain insights into the reaction mechanism and accelerate the design of highly ac...

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Principais autores: Hemanth Somarajan Pillai, Yi Li, Shih-Han Wang, Noushin Omidvar, Qingmin Mu, Luke E. K. Achenie, Frank Abild-Pedersen, Juan Yang, Gang Wu, Hongliang Xin
格式: Artigo
語言:Inglês
出版: Nature Portfolio 2023-02-01
叢編:Nature Communications
在線閱讀:https://doi.org/10.1038/s41467-023-36322-5
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