Yen-Ju Wu
;
Yibin Xu
;
Lei Fang
;
Wenqin Peng
;
Ken Sakaushi
;
Meiqi Zhang
;
Masao Arai
;
Yukinori Koyama
説明:
(abstract)The discovery of high-performance electrochemical materials is essential for advancing sustainable energy technologies, yet conventional approaches are often limited by trial-and-error experimental processes, time-consuming computations and the need for detailed structural data. To address these challenges, we introduce a periodic table-based compositional descriptor, referred to as the periodic descriptor. Unlike existing methods, our periodic descriptor only requires chemical formulas, making it straightforward and versatile while supporting reversible design, which allows direct conversion between descriptors and chemical compositions.
We applied this approach to two critical applications: fast Li-ion conductors for solid-state electrolytes and platinum-group metal (PGM)-free oxygen evolution reaction (OER) electrocatalysts for water electrolysis. In the case of Li-ion conductors, our model identified both known materials and new candidates, including anti-fluorite structures that exhibit high ionic conductivity at 600-700 K—significantly lower than that of traditional anti-fluorite compounds like Li₂S and Li₂Se. For electrocatalysts, we identified Fe0.1Co0.1Cu0.1Ag0.1W0.6 oxide, which showed electrochemical performance comparable to the benchmark PGM catalyst RuO₂ but at a lower overpotential.
The periodic descriptor demonstrates high predictive accuracy while maintaining low dimensionality, simplifying both the discovery and optimization of materials. This work not only establishes a scalable, efficient framework for material exploration but also highlights the potential for accelerating breakthroughs in green energy solutions, such as next-generation batteries and green hydrogen production, ultimately contributing to carbon neutrality.
権利情報:
キーワード: Solid electrolyte, ionic conductor, electrocatalyst, energy storage, descriptor
刊行年月日: 2025-12-31
出版者: Informa UK Limited
掲載誌:
研究助成金:
原稿種別: 著者最終稿 (Accepted manuscript)
MDR DOI: https://doi.org/10.48505/nims.5536
公開URL: https://doi.org/10.1080/27660400.2025.2513218
関連資料:
その他の識別子:
連絡先:
更新時刻: 2025-06-18 12:30:21 +0900
MDRでの公開時刻: 2025-06-18 12:20:15 +0900
| ファイル名 | サイズ | |||
|---|---|---|---|---|
| ファイル名 |
Periodic table-based compositional descriptors for accelerating electrochemical material discovery Li-ion conductors and oxygen evolution electrocata.pdf
(サムネイル)
application/pdf |
サイズ | 6.43MB | 詳細 |