APA (7th ed.) Citation

Fang, C., Zhang, W., Sheng, Z., Wei, P., Ma, J., & Dong, S. (2026). Machine learning prediction of flexural strength of high‐entropy carbides via feature‐engineered ensemble modeling. Journal of the American Ceramic Society, 109(1), 1. https://doi.org/10.1111/jace.70444

Chicago Style (17th ed.) Citation

Fang, Cheng, Wengang Zhang, Zhiyuan Sheng, Pian Wei, Jun Ma, and Shun Dong. "Machine Learning Prediction of Flexural Strength of High‐entropy Carbides via Feature‐engineered Ensemble Modeling." Journal of the American Ceramic Society 109, no. 1 (2026): 1. https://doi.org/10.1111/jace.70444.

MLA (9th ed.) Citation

Fang, Cheng, et al. "Machine Learning Prediction of Flexural Strength of High‐entropy Carbides via Feature‐engineered Ensemble Modeling." Journal of the American Ceramic Society, vol. 109, no. 1, 2026, p. 1, https://doi.org/10.1111/jace.70444.