Cite
Prediction of Porous Media Fluid Flow with Spatial Heterogeneity Using Criss-Cross Physics-Informed Convolutional Neural Networks.
MLA
Han, Jiangxia, et al. “Prediction of Porous Media Fluid Flow with Spatial Heterogeneity Using Criss-Cross Physics-Informed Convolutional Neural Networks.” CMES-Computer Modeling in Engineering & Sciences, vol. 140, no. 2, Aug. 2024, pp. 1323–40. EBSCOhost, https://doi.org/10.32604/cmes.2023.031093.
APA
Han, J., Xue, L., Jia, Y., Mwasamwasa, M. S., Nanguka, F., Sangweni, C., Liu, H., & Li, Q. (2024). Prediction of Porous Media Fluid Flow with Spatial Heterogeneity Using Criss-Cross Physics-Informed Convolutional Neural Networks. CMES-Computer Modeling in Engineering & Sciences, 140(2), 1323–1340. https://doi.org/10.32604/cmes.2023.031093
Chicago
Han, Jiangxia, Liang Xue, Ying Jia, Mpoki Sam Mwasamwasa, Felix Nanguka, Charles Sangweni, Hailong Liu, and Qian Li. 2024. “Prediction of Porous Media Fluid Flow with Spatial Heterogeneity Using Criss-Cross Physics-Informed Convolutional Neural Networks.” CMES-Computer Modeling in Engineering & Sciences 140 (2): 1323–40. doi:10.32604/cmes.2023.031093.