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Published on: December 6, 2021
Kazuki Okazawa1, Yuta Tsuji2, Keita Kurino1
1Institute for Materials Chemistry and Engineering and IRCCS, Kyushu University, Nishi-ku, Fukuoka819-0395, Japan.
Researchers used Bayesian optimization and density functional theory to find the best binary alloy catalysts for nitrogen activation. This approach efficiently identified optimal catalysts, significantly improving upon random search methods.
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