APA (7th ed.) Citation

Deng, S., Hosseinmardi, S., Wang, L., Apelian, D., & Bostanabad, R. (2024). Data-driven physics-constrained recurrent neural networks for multiscale damage modeling of metallic alloys with process-induced porosity. Computational Mechanics, 74(1), 191. https://doi.org/10.1007/s00466-023-02429-1

Chicago Style (17th ed.) Citation

Deng, Shiguang, Shirin Hosseinmardi, Libo Wang, Diran Apelian, and Ramin Bostanabad. "Data-driven Physics-constrained Recurrent Neural Networks for Multiscale Damage Modeling of Metallic Alloys with Process-induced Porosity." Computational Mechanics 74, no. 1 (2024): 191. https://doi.org/10.1007/s00466-023-02429-1.

MLA (9th ed.) Citation

Deng, Shiguang, et al. "Data-driven Physics-constrained Recurrent Neural Networks for Multiscale Damage Modeling of Metallic Alloys with Process-induced Porosity." Computational Mechanics, vol. 74, no. 1, 2024, p. 191, https://doi.org/10.1007/s00466-023-02429-1.