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Machine-learning-guided design of Co-Cu bimetallic single-atom sites for electrochemical nitrate-to-ammonia conversion
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DOI：10.1016/j.jcat.2026.117118.png)
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Abstract
En 中文
• ML screening identifies Co–Cu diatomic sites for NO3RR. • CoCuN4/CNT achieves 92.9% Faradaic efficiency for NH3. • Diatomic Co–Cu motif balances nitrate activation and hydrogenation. • In situ Raman and DFT reveal synergistic NO3RR mechanism. • Zn–NO3− battery demonstrates coupled energy–environment application.
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IF:
6.5
Papers:
1.2W
Citations:
5.1W
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