APA (7th ed.) Citation

Liang, C., Cheng, P., & Shao, C. (2026). Physics-Informed Machine Learning for Predicting Carburizing Process Outcomes in 20Cr2Ni4 Steel: A Cascade Modeling Approach. Metals (2075-4701), 16(2), 163. https://doi.org/10.3390/met16020163

Chicago Style (17th ed.) Citation

Liang, Chuansheng, Peng Cheng, and Chenxi Shao. "Physics-Informed Machine Learning for Predicting Carburizing Process Outcomes in 20Cr2Ni4 Steel: A Cascade Modeling Approach." Metals (2075-4701) 16, no. 2 (2026): 163. https://doi.org/10.3390/met16020163.

MLA (9th ed.) Citation

Liang, Chuansheng, et al. "Physics-Informed Machine Learning for Predicting Carburizing Process Outcomes in 20Cr2Ni4 Steel: A Cascade Modeling Approach." Metals (2075-4701), vol. 16, no. 2, 2026, p. 163, https://doi.org/10.3390/met16020163.