APA (7th ed.) Citation

Wang, H., Li, B., Gong, J., & Xuan, F. (2023). Machine learning-based fatigue life prediction of metal materials: Perspectives of physics-informed and data-driven hybrid methods. Engineering fracture mechanics, 284, 109242. https://doi.org/10.1016/j.engfracmech.2023.109242

Chicago Style (17th ed.) Citation

Wang, Haijie, Bo Li, Jianguo Gong, and Fu-Zhen Xuan. "Machine Learning-based Fatigue Life Prediction of Metal Materials: Perspectives of Physics-informed and Data-driven Hybrid Methods." Engineering Fracture Mechanics 284 (2023): 109242. https://doi.org/10.1016/j.engfracmech.2023.109242.

MLA (9th ed.) Citation

Wang, Haijie, et al. "Machine Learning-based Fatigue Life Prediction of Metal Materials: Perspectives of Physics-informed and Data-driven Hybrid Methods." Engineering Fracture Mechanics, vol. 284, 2023, p. 109242, https://doi.org/10.1016/j.engfracmech.2023.109242.