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説明:

Through data-driven synthesis involving 24 experiments from 16,384 possible combinations (<1%), we developed two optimal electrocatalysts for the hydrogen oxidation reaction (HOR) in acidic media: PtIrRuNiCo nanowires and Pt-free RuNiCo nanocages. The objective function obtained in the Bayesian optimization (BO) process is highly correlated with the experimental current density for the HOR. The RuNiCo nanocages exhibited higher HOR activity than Ru because of the suppression of the surface oxide formation. Our BO-assisted approach accelerates the development of highly active electrocatalysts without requiring high-throughput synthesis.

権利情報:

• In Copyright
  

  This document is the Accepted Manuscript version of a Published Work that appeared in final form in ACS Applied Energy Materials, copyright © 2025 American Chemical Society after peer review and technical editing by the publisher. To access the final edited and published work see https://doi.org/10.1021/acsaem.5c02113.

キーワード: Electrocatalysts, Hydrogen oxidation reaction, Bayesian optimization, Polymer electrolyte fuel cell

刊行年月日: 2025-10-13

出版者: American Chemical Society (ACS)

掲載誌:

• ACS Applied Energy Materials (ISSN: 25740962) vol. 8 issue. 19 p. 14052-14057

研究助成金:

• New Energy and Industrial Technology Development Organization JPNP20003
• Ministry of Education, Culture, Sports, Science and Technology JPMXP1222HK0033
• Ministry of Education, Culture, Sports, Science and Technology JPMXP1223HK0012
• Ministry of Education, Culture, Sports, Science and Technology JPMXP1224HK0036
• Japan Society for the Promotion of Science 20F19756
• Japan Society for the Promotion of Science 25K01612

原稿種別: 著者最終稿 (Accepted manuscript)

MDR DOI:

公開URL: https://doi.org/10.1021/acsaem.5c02113

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更新時刻: 2026-04-30 12:01:11 +0900

MDRでの公開時刻: 2026-09-29 08:46:36 +0900