Xu, R., Zhang, D., & Wang, N. (2022). Uncertainty quantification and inverse modeling for subsurface flow in 3D heterogeneous formations using a theory-guided convolutional encoder-decoder network. Journal of hydrology (Amsterdam), 613, 128321. https://doi.org/10.1016/j.jhydrol.2022.128321
Chicago-Zitierstil (17. Ausg.)Xu, Rui, Dongxiao Zhang, und Nanzhe Wang. "Uncertainty Quantification and Inverse Modeling for Subsurface Flow in 3D Heterogeneous Formations Using a Theory-guided Convolutional Encoder-decoder Network." Journal of Hydrology (Amsterdam) 613 (2022): 128321. https://doi.org/10.1016/j.jhydrol.2022.128321.
MLA-Zitierstil (9. Ausg.)Xu, Rui, et al. "Uncertainty Quantification and Inverse Modeling for Subsurface Flow in 3D Heterogeneous Formations Using a Theory-guided Convolutional Encoder-decoder Network." Journal of Hydrology (Amsterdam), vol. 613, 2022, p. 128321, https://doi.org/10.1016/j.jhydrol.2022.128321.