Work

Explainable prediction framework for high‐temperature residual strength of SiC f /SiC composites driven by XGBoost + SHAP

Year: 2025

Type: article

Source: Journal of the American Ceramic Society

DOI: 10.1111/jace.70319

Authors: Zhiyuan Ma, Zhaofeng Chen, Wei Zheng, Le Lu, Kai Shen, Yiran Lin, Yucheng Guo, Ao Liu

Institution: Nanjing University of Aeronautics and Astronautics

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: closed

Funders: National Natural Science Foundation of China, China Postdoctoral Science Foundation, Chinese Aeronautical Establishment

Awards: G2326820696, G3436497182, G4219180975, G6795879595, G8389935211

OpenAlex ID: W4415418183

FWCI: 0.848

Cites: 32

Cited by: 4

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