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An interpretable machine learning framework for predicting Curie temperature of lead-based piezoelectric ceramics

Zidong Wang Chenbo Zhang Fei Li

Journal of Materiomics2026，Vol.12Issue(4)：P.237-245,9.

Journal of Materiomics2026，Vol.12Issue(4)：P.237-245,9.DOI:10.1016/j.jmat.2026.101247

An interpretable machine learning framework for predicting Curie temperature of lead-based piezoelectric ceramics

Zidong Wang ¹Chenbo Zhang ²Fei Li¹

作者信息

1. Electronic Materials Research Laboratory(Key Lab of Education Ministry),State Key Laboratory for Mechanical Behavior of Materials and School of Electronic and Information Engineering,Xi''an Jiaotong University,Xi''an,710049,China
2. MOE Key Laboratory of Advanced Micro-Structured Materials,School of Physics Science and Engineering,Institute for Advanced Study,Tongji University,Shanghai,200092,China
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摘要

关键词

Interpretable machine learning/Lead-based piezoelectric ceramics/Curie temperature prediction

分类

信息技术与安全科学

引用本文复制引用

Zidong Wang,Chenbo Zhang,Fei Li..An interpretable machine learning framework for predicting Curie temperature of lead-based piezoelectric ceramics[J].Journal of Materiomics,2026,12(4):P.237-245,9.

基金项目

support of the National Key Research and Development Program of China(2024YFB3211800) （2024YFB3211800）

National Natural Science Foundation of China(Grants:52325205 and 52422207) （Grants:52325205 and 52422207）

the Science and Technology Project of Xi''an(25ZQRC00005) （25ZQRC00005）

Specialized Program for the Commercialization of Major Scientific and Technological Achievements of Xianyang(L2024-ZDKJ-ZDCGZH-0011) （L2024-ZDKJ-ZDCGZH-0011）

Shaanxi Provincial Key R&D Program Qinchuangyuan General Platform‘Four-Chain Integration’2024 PT-ZCK-14. （）

Journal of Materiomics

ISSN：2352-8478

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