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January 1, 2026Journal of Materials Chemistry C

Interpretable machine learning-assisted discovery of BaTiO ₃ -based ceramics with enhanced dielectric constant

J X Liu Hua Hao Xingzhong Liu Jiahao Tian Bangzhi Peng Chunze Wei Jinglong Fan Hanxing Liu

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Key Points

The aim is to discover new BaTiO3-based ceramics with enhanced dielectric constants using machine learning techniques.
Combined feature selection and SHAP analysis to determine promising composition ranges.
Used EGO (Expected Improvement for Global Optimization) to guide the synthesis process.
Prepared and characterized four new compositions based on the findings.
Achieved superior dielectric constant (ε r25) in one experimental round.
Identified four promising compositions for further study.

Implication

Identifies new compositions of BaTiO3 ceramics with improved dielectric properties, suggesting efficient synthesis methods.

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Cite This Study

Liu et al. (2026) studied this question.

synapsesocial.com/papers/6a0ff38cd674f7c03778c46c https://doi.org/10.1039/d6tc00908e

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