Active Learning-Driven Bayesian Optimization of Catalytic Nanoparticles for CO₂ Reduction

iamrp.net-fNhn-1792580715-p457561086 1792580715 Institute for Advanced Materials Research Press info@iamrp.net Institute for Advanced Materials Research Press Journal of Artificial Intelligence for Materials Science J. Artif. Intell. Mater. Sci. 3149-8957 2023 2 2 Active Learning-Driven Bayesian Optimization of Catalytic Nanoparticles for CO₂ Reduction Hiroshi Tanaka Yuki Sato Kenji Mori Rina Okabe 2023 10.68159/p457561086 https://iamrp.net/pub/journal/1/article/p457561086 Limaye AM, Zeng JS, Willard AP, Manthiram K. Bayesian data analysis reveals no preference for cardinal Tafel slopes in CO2 reduction electrocatalysis. Nat Commun. 2021;12(1):703. Walker EA. Bayesian statistics in catalysis: A perspective. Curr Opin Chem Eng. 2022;36:100820. Frey D, Neyerlin KC, Modestino MA. Bayesian optimization of electrochemical devices for electrons-to-molecules conversions: The case of pulsed CO2 electroreduction. React Chem Eng. 2022;7(12):2550-60. 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