Gege Wen

According to our database, Gege Wen authored at least 12 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Learning Pore-scale Multiphase Flow from 4D Velocimetry.

Chunyang Wang, Linqi Zhu, Yuxuan Gu, Robert van der Merwe, Xin Ju, Catherine Spurin, Samuel Krevor, Rex Ying, Tobias Pfaff, Martin J. Blunt, Tom Bultreys, Gege Wen

CoRR, March, 2026

Function-Space Decoupled Diffusion for Forward and Inverse Modeling in Carbon Capture and Storage.

Xin Ju, Jiachen Yao, Anima Anandkumar, Sally M. Benson, Gege Wen

CoRR, February, 2026

Adaptive Physics Transformer with Fused Global-Local Attention for Subsurface Energy Systems.

Xin Ju, Nok Hei Fung, Yuyan Zhang, Carl Jacquemyn, Matthew David Jackson, Randolph R. Settgast, Sally M. Benson, Gege Wen

CoRR, February, 2026

2024

Learning CO2 plume migration in faulted reservoirs with Graph Neural Networks.

Xin Ju, François P. Hamon, Gege Wen, Rayan Kanfar, Mauricio Araya-Polo, Hamdi A. Tchelepi

Comput. Geosci., 2024

Learning Pore-scale Multi-phase Flow from Experimental Data with Graph Neural Network.

Yuxuan Gu, Catherine Spurin, Gege Wen

CoRR, 2024

2023

Learning CO₂ plume migration in faulted reservoirs with Graph Neural Networks.

Xin Ju, François P. Hamon, Gege Wen, Rayan Kanfar, Mauricio Araya-Polo, Hamdi A. Tchelepi

CoRR, 2023

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

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, Jim Spohrer, Frank Stein, Meghna Tare, Svitlana Volkov, Gege Wen

CoRR, 2022

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

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

CCSNet: a deep learning modeling suite for CO₂ storage.

Gege Wen, Catherine Hay, Sally M. Benson

CoRR, 2021

2019

Multiphase flow prediction with deep neural networks.

Gege Wen, Meng Tang, Sally M. Benson

CoRR, 2019