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説明:

Degradation test represents a significant bottleneck in the electrochemical technology development, requiring occasionally tens of thousands of hours. Thus, a reliable degradation forecasting in short timeframe is a game-changer in accelerating the establishment of future electrochemical devices. Herein, we show a multidimensional kinetic model for electrocatalyst degradation by quantifying the relationship among potential, current, and time, applicable under various conditions.

権利情報:

• Creative Commons BY-NC-ND Attribution-NonCommercial-NoDerivs 4.0 International
  https://creativecommons.org/licenses/by-nc-nd/4.0/

キーワード: Bayesian Data Assimilation, Electrocatalysts, Kinetic Model

刊行年月日: 2025-01-10

出版者: American Chemical Society

掲載誌:

• ACS Energy Letters (ISSN: 23808195) vol. 10 p. 22-29

研究助成金:

• 文部科学省 JPMXP1122712807

原稿種別: 出版者版 (Version of record)

MDR DOI:

公開URL: https://doi.org/10.1021/acsenergylett.4c02868

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更新時刻: 2024-12-10 16:56:51 +0900

MDRでの公開時刻: 2025-02-17 18:32:17 +0900