Inside Back Cover: Catalysis AI Agent Guides Discovering the Universal Design Principle of Cu‐Based Single‐Atom Alloy Catalysts for CO <sub>2</sub> Electroreduction
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.
Authors
- Haoxiang Xu (ORCID: https://orcid.org/0009-0003-8601-9588)
- Di Zhang
- Zhong Li
- Hao Li
- Daojian Cheng
- Xuning Wang
Institutions
- Tohoku University (JP)
- Tarim University (CN)
- Advanced Institute of Materials Science (JP)
- Beijing Academy of Artificial Intelligence (CN)
- Beijing University of Chemical Technology (CN)
Publication Details
- Journal
- Angewandte Chemie International Edition
- Published
- 2026-04-21
- DOI
- https://doi.org/10.1002/anie.2026-m1704055400
- Primary Topic
- CO2 Reduction Techniques and Catalysts
- Type
- article
- Field-Weighted Citation Impact
- 0.00