Multiphase flow prediction with deep neural networks. - Gege Wen; Meng Tang; Sally M. Benson (CoRR, 2019)

CCSNet: a deep learning modeling suite for CO2 storage. - Gege Wen; Catherine Hay; Sally M. Benson (CoRR, 2021)

U-FNO - an enhanced Fourier neural operator based-deep learning model for multiphase flow. - Gege Wen; Zongyi Li; Kamyar Azizzadenesheli; Anima Anandkumar; Sally M. Benson (CoRR, 2021)

Accelerating Carbon Capture and Storage Modeling using Fourier Neural Operators. - Gege Wen; Zongyi Li; Qirui Long; Kamyar Azizzadenesheli; Anima Anandkumar; Sally M. Benson (CoRR, 2022)

Proceedings of AAAI 2022 Fall Symposium: The Role of AI in Responding to Climate Challenges. - Feras A. Batarseh; Priya L. Donti; Ján Drgona; Kristen Fletcher; Pierre-Adrien Hanania; Melissa Hatton; Srinivasan Keshav; Bran Knowles; Raphaela Kotsch; Sean McGinnis; Peetak Mitra; Alex Philp; et al. (CoRR, 2022)

Optimizing Carbon Storage Operations for Long-Term Safety. - Yizheng Wang; Markus Zechner; Gege Wen; Anthony Louis Corso; John Michael Mern; Mykel J. Kochenderfer; Jef Karel Caers (CoRR, 2023)

Learning CO2 plume migration in faulted reservoirs with Graph Neural Networks. - Xin Ju 002; François P. Hamon; Gege Wen; Rayan Kanfar; Mauricio Araya-Polo; Hamdi A. Tchelepi (CoRR, 2023)

Learning Pore-scale Multi-phase Flow from Experimental Data with Graph Neural Network. - Yuxuan Gu; Catherine Spurin; Gege Wen (CoRR, 2024)

Learning CO2 plume migration in faulted reservoirs with Graph Neural Networks. - Xin Ju 002; François P. Hamon; Gege Wen; Rayan Kanfar; Mauricio Araya-Polo; Hamdi A. Tchelepi (Comput. Geosci., 2024)