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Machine learning-guided discovery of stable low-work-function perovskite oxides for advanced catalysis and energy technologies

Lili Liang Yujie Yang Yutong Gong Zhiqi Wang Ke Li Jianan Su Jinming Wang Junjie Wang

Journal of Advanced Ceramics2025，Vol.14Issue(10)：P.119-134,16.

Journal of Advanced Ceramics2025，Vol.14Issue(10)：P.119-134,16.DOI:10.26599/JAC.2025.9221159

Machine learning-guided discovery of stable low-work-function perovskite oxides for advanced catalysis and energy technologies

Lili Liang ¹Yujie Yang ¹Yutong Gong ¹Zhiqi Wang ¹Ke Li ¹Jianan Su ¹Jinming Wang ¹Junjie Wang¹

作者信息

1. State Key Laboratory of Solidification Processing,School of Materials Science and Engineering,Northwestern Polytechnical University,Xi’an 710072,China
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摘要

关键词

machine learning(ML)/density functional theory(DFT)/perovskite oxides/work function

分类

化学化工

引用本文复制引用

Lili Liang,Yujie Yang,Yutong Gong,Zhiqi Wang,Ke Li,Jianan Su,Jinming Wang,Junjie Wang..Machine learning-guided discovery of stable low-work-function perovskite oxides for advanced catalysis and energy technologies[J].Journal of Advanced Ceramics,2025,14(10):P.119-134,16.

基金项目

supported by the National Key Research and Development Program of Intergovernmental Cooperation in Science and Technology(No.2022YFE0141100) （No.2022YFE0141100）

the National Natural Science Foundation of China(No.52272307) （No.52272307）

the Fundamental Research Funds for the Central Universities. （）

Journal of Advanced Ceramics

OACSCD

ISSN：2226-4108

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