A machine learning–driven screening identifies Cu‐based bimetallic alloys that enhance CO–CO coupling in CO2 electroreduction. Using interpretable geometric and elemental features, the framework predicts CO adsorption behavior across thousands of sites, highlighting CuGa, CuAg, CuAl, CuAu, CuZn, and CuIn as promising catalysts for selective C2 ...
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Thank You to Our 2025 Peer Reviewers
Geophysical Research Letters, Volume 53, Issue 6, 28 March 2026.
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