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Research demonstrates AI agents accelerate discovery of catalysts for CO2 electroreduction, suggesting new strategies for design.
In the Research Article e24612, Hao Li, Haoxiang Xu, Daojian Cheng, and co-workers report a new paradigm for catalysis research in which AI agents guide the formulation of research strategies. AI helps the elucidation of classification rules for Cu-based single-atom alloy catalysts and the development of universal design principles, thereby accelerating the discovery of new high-performance catalysts for CO2 electroreduction towards multicarbon products.
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Wang et al. (2026) studied this question.
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