Mesoporous trimetallic PtPdAu alloy films toward enhanced electrocatalytic activity in methanol oxidation: Unexpected chemical compositions discovered by Bayesian optimization

Asep Sugih Nugraha, Guillaume Lambard, Jongbeom Na, Md Shahriar A. Hossain, Toru Asahi, Watcharop Chaikittisilp, Yusuke Yamauchi*

*この研究の対応する著者

研究成果: Article査読

5 被引用数 (Scopus)

抄録

There is growing interest in developing mesoporous metallic alloys for electrochemical applications such as catalysts in fuel cells and batteries. As is well known, the chemical compositions of alloys can significantly affect their electrochemical properties. Although tuning the chemical compositions of mesoporous metallic alloys for enhancing the electrochemical activity has been reported, they have mostly been limited to binary components partly because experimental exploration over possible multi-compositional spaces is a time-consuming process. Here, we describe, for the first time, the application of the active learning scheme using Bayesian optimization for the exploratory search of the chemical compositions of mesoporous trimetallic PtPdAu alloys with optimum catalytic activity in the electrocatalytic oxidation of methanol. Unexpectedly, it was found that the PtPdAu alloys yielding the highest catalytic activity contain only a small percentage of Au. These compositions were discovered by performing only 47 experiments, less than 1% of all possible compositions in our experimental design. Our current approach is highly efficient and would be applicable to any system to accelerate the discovery of novel materials.

本文言語English
ページ(範囲)13532-13540
ページ数9
ジャーナルJournal of Materials Chemistry A
8
27
DOI
出版ステータスPublished - 2020 7 21

ASJC Scopus subject areas

  • 化学 (全般)
  • 再生可能エネルギー、持続可能性、環境
  • 材料科学(全般)

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