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XGBoost model for electrocaloric temperature change prediction in ceramics
Engineering and Technologynpj Computational Materials

XGBoost model for electrocaloric temperature change prediction in ceramics

J. Gong, S. Chu, et al.

Discover how Jie Gong, Sharon Chu, Rohan K. Mehta, and Alan J. H. McGaughey have harnessed eXtreme Gradient Boosting to accurately predict the electrocaloric temperature changes in ceramics. Their groundbreaking findings reveal promising lead-free candidates for advanced ferroelectrics, achieving impressive prediction accuracy that illuminates crucial aspects of material science.... show more
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Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

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