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理论驱动的M-N-C电催化剂的实验发现

Shiqing Huang1, Guoqing Xu1, Zelong Qiao1

  • 1State Key Laboratory of Organic-Inorganic Composites, Beijing University of Chemical Technology, Beijing 100029, People's Republic of China.

Accounts of chemical research
|January 30, 2026
PubMed
概括

使用人工智能和计算方法的理论驱动方法加速了用于清洁能源应用的高效金属--碳 (M-N-C) 催化剂的发现. 新的结构描述符和选方法可以直接预测催化剂性能,降低开发成本.

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