This review highlights the role of machine learning in improving stability and efficiency in nitrogen reduction reaction for ammonia synthesis.
Mo-based catalysts, MOFs, and TM-nitrides and carbides are identified as leading NRR systems, with integrated qualitative and ML-analyses elucidating design rules that govern activity, stability, and cost-efficient electrochemical NH 3 synthesis.
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Jammal et al. (2026) studied this question.
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