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How to accelerate the inorganic materials synthesis:from computational guidelines to data-driven method?

Yilei Wu Xiaoyan Li Rong Guo Ruiqi Xu Ming-Gang Ju Jinlan Wang

国家科学评论（英文版）2025，Vol.12Issue(4)：372-392,21.

国家科学评论（英文版）2025，Vol.12Issue(4)：372-392,21.DOI:10.1093/nsr/nwaf081

How to accelerate the inorganic materials synthesis:from computational guidelines to data-driven method?

Yilei Wu ¹Xiaoyan Li ¹Rong Guo ²Ruiqi Xu ¹Ming-Gang Ju ¹Jinlan Wang²

作者信息

1. Key Laboratory of Quantum Materials and Devices of Ministry of Education,School of Physics,Southeast University,Nanjing 211189,China
2. Key Laboratory of Quantum Materials and Devices of Ministry of Education,School of Physics,Southeast University,Nanjing 211189,China||Suzhou Laboratory,Suzhou 215004,China
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摘要

关键词

inorganic materials synthesis/machine learning/computational guidelines

Key words

inorganic materials synthesis/machine learning/computational guidelines

引用本文复制引用

Yilei Wu,Xiaoyan Li,Rong Guo,Ruiqi Xu,Ming-Gang Ju,Jinlan Wang..How to accelerate the inorganic materials synthesis:from computational guidelines to data-driven method?[J].国家科学评论（英文版）,2025,12(4):372-392,21.

基金项目

This work was supported by the National Key Research and De-velopment Program of China(2022YFA1503103),the National Natural Science Foundation of China(22033002,22173019 and T2321002),the Basic Research Program of Jiangsu Province(BK20232012 and BK20222007),and the Fundamental Re-search Funds for the Central Universities(2242022R40072). （2022YFA1503103）

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