SANKEN（ISIR）

The Institute of Scientific and Industrial Research, Osaka University

大阪大学
産業科学研究所

LAST UPDATE 2022/09/27

  • 研究者氏名
    Researcher Name

    片山祐　Yu KATAYAMA
    准教授　Associate Professor

  • 所属
    Professional Affiliation

    大阪大学産業科学研究所
    The Institute of Scientific and Industrial Research, Osaka University

    エネルギー・環境材料研究分野
    Department of Energy and Environmental Materials

  • 研究キーワード
    Research Keywords

    Power-to-Xデバイス
    燃料電池
    界面オペランド解析
    Power-to-X technology
    Fuel Cells
    Operando interface analysis
研究テーマ
Research Subject
電極/電解液界面反応の最適化による革新的な電気化学反応の開発
Atomic Scale Optimization of the Electrochemical Interfaces for Triggering the Unprecedented Electrochemical Reactions

研究の背景 Background

電気化学反応は、エネルギー貯蔵・エネルギー変換・材料合成など幅広い分野で我々の豊かな生活を支えています。これらの反応はいくつもの複雑な反応過程から成り立ちますが、その全てが固体の電極材料と液体の電解液材料の境界「電極/電解液界面」にて進行しています。この「電極/電解液界面」の理解は不十分であり、その解明と最適化の方策を確立することで、電気化学反応特性のさらなる向上が期待されます。

(Electro)catalysis provides exciting opportunities to address some of the impending global changes of the 21st century ranging from energy and environment to food and chemical production. Although the electrocatalytic activity has been improved by tuning the electronic structure of the electrode materials, there has been little focus on engineering the electrode/electrolyte interface. Therefore, there are immense opportunities for fundamental research of electrode/electrolyte interfaces to identify governing parameters that dictate the complex interactions at interfaces.

研究の目標 Outcome

我々は、独自のオペランド測定による電極/電解液界面反応解析を「電極/電解液界面」材料設計に応用し、エネルギー・環境問題の解決に資する電気化学反応の飛躍的な活性向上に挑戦しています。

We aim to connect the understanding of surface reaction mechanisms obtained by operando techniques combined with theoretical analysis to the activity and stability of the catalysts, as well as to establish novel design principles for designing electrode/electrolyte interfaces.

研究図Research Figure

Fig.1. Computational and experimental tools to gain an understanding of the (electro)chemical interface.
Fig.2. The integration of computational tools (DFT and machine learning) and experimental approaches (electrochemistry and spectroscopy) provides additional opportunities for tailored (electro)catalyst design.

文献 / Publications

Yu Katayama et al. Journal of the American Chemical Society Au, 1, 1674−1687 (2021), Nature Catalysis 3, 516–525 (2020), Energy & Environmental Science 13, 183–199 (2020), Science 358, 751–756 (2017), ACS Catalysis 6, 2026–2034 (2016).

研究者HP