Xu, R., Zhang, D., Rong, M., & Wang, N. (2021). Weak form theory-guided neural network (TgNN-wf) for deep learning of subsurface single- and two-phase flow. Journal of computational physics, 436, 110318. https://doi.org/10.1016/j.jcp.2021.110318
Chicago Style (17th ed.) CitationXu, Rui, Dongxiao Zhang, Miao Rong, and Nanzhe Wang. "Weak Form Theory-guided Neural Network (TgNN-wf) for Deep Learning of Subsurface Single- and Two-phase Flow." Journal of Computational Physics 436 (2021): 110318. https://doi.org/10.1016/j.jcp.2021.110318.
MLA (9th ed.) CitationXu, Rui, et al. "Weak Form Theory-guided Neural Network (TgNN-wf) for Deep Learning of Subsurface Single- and Two-phase Flow." Journal of Computational Physics, vol. 436, 2021, p. 110318, https://doi.org/10.1016/j.jcp.2021.110318.