- Published
- 2022-04-05
- Venue
- Advances in Water Resources, vol. 163, pp. 104180
- Cited by
- 557
- Open access
- Yes, green
- DOI
- 10.1016/j.advwatres.2022.104180
Cite this paper
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- APA 7
Wen, G., Li, Z., Azizzadenesheli, K., Anandkumar, A., & Benson, S. M. (2022). U-FNO—An enhanced Fourier neural operator-based deep-learning model for multiphase flow. Advances in Water Resources, 163, 104180. https://doi.org/10.1016/j.advwatres.2022.104180
- MLA 9
Wen, Gege, et al. "U-FNO—An enhanced Fourier neural operator-based deep-learning model for multiphase flow." Advances in Water Resources, vol. 163, 2022, pp. 104180, https://doi.org/10.1016/j.advwatres.2022.104180.
- Chicago
Wen, Gege, Zongyi Li, Kamyar Azizzadenesheli, Animashree Anandkumar, and Sally M. Benson. "U-FNO—An enhanced Fourier neural operator-based deep-learning model for multiphase flow." Advances in Water Resources 163 (2022): 104180. https://doi.org/10.1016/j.advwatres.2022.104180.
- GOST
Wen G., Li Z., Azizzadenesheli K. [и др.] U-FNO—An enhanced Fourier neural operator-based deep-learning model for multiphase flow // Advances in Water Resources. — 2022. — Vol. 163. — P. 104180. — URL: https://doi.org/10.1016/j.advwatres.2022.104180
- BibTeX
@article{wen2022ufnoan, title = {{U-FNO—An enhanced Fourier neural operator-based deep-learning model for multiphase flow}}, author = {Gege Wen and Zongyi Li and Kamyar Azizzadenesheli and Animashree Anandkumar and Sally M. Benson}, journal = {Advances in Water Resources}, year = {2022}, volume = {163}, pages = {104180}, doi = {10.1016/j.advwatres.2022.104180}, url = {https://doi.org/10.1016/j.advwatres.2022.104180} }- RIS
TY - JOUR AU - Wen, Gege AU - Li, Zongyi AU - Azizzadenesheli, Kamyar AU - Anandkumar, Animashree AU - Benson, Sally M. TI - U-FNO—An enhanced Fourier neural operator-based deep-learning model for multiphase flow JO - Advances in Water Resources VL - 163 SP - 104180 PY - 2022 DA - 2022/04/05 DO - 10.1016/j.advwatres.2022.104180 UR - https://doi.org/10.1016/j.advwatres.2022.104180 ER -