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Domain knowledge-assisted materials data anomaly detection towards constructing high-performance machine learning models

Yue Liu Shuchang Ma Zhengwei Yang Duo Wu Yali Zhao Maxim Avdeev Siqi Shi

无机材料学学报（英文）2025，Vol.11Issue(6)：51-68,18.

无机材料学学报（英文）2025，Vol.11Issue(6)：51-68,18.DOI:10.1016/j.jmat.2025.101066

Domain knowledge-assisted materials data anomaly detection towards constructing high-performance machine learning models

Yue Liu ¹Shuchang Ma ¹Zhengwei Yang ¹Duo Wu ¹Yali Zhao ¹Maxim Avdeev ²Siqi Shi³

作者信息

1. State Key Laboratory of Materials for Advanced Nuclear Energy & School of Computer Engineering and Science,Shanghai University,Shanghai,20444,China
2. Australian Nuclear Science and Technology Organisation,Locked Bag 2001,Kirrawee DC NSW,2232,Australia||School of Chemistry,The University of Sydney,Sydney,2006,Australia
3. State Key Laboratory of Materials for Advanced Nuclear Energy & School of Materials Science and Engineering,Shanghai University,Shanghai,200444,China||Materials Genome Institute,Shanghai University,Shanghai,200444,China
折叠

摘要

关键词

Machine learning/Materials science/Data anomaly/Domain knowledge

Key words

Machine learning/Materials science/Data anomaly/Domain knowledge

引用本文复制引用

Yue Liu,Shuchang Ma,Zhengwei Yang,Duo Wu,Yali Zhao,Maxim Avdeev,Siqi Shi..Domain knowledge-assisted materials data anomaly detection towards constructing high-performance machine learning models[J].无机材料学学报（英文）,2025,11(6):51-68,18.

基金项目

This work was supported in part by the National Natural Science Foundation of China(Nos.92270124,92472207 and 52073169)and National Key Research and Development Program of China(No.2021YFB3802101). （Nos.92270124,92472207 and 52073169）

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