Gege Wen - RankMe

12 papers Journal 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive Physics Transformer with Fused Global-Local Attention for Subsurface Energy Systems. CoRR Xin Ju, Nok Hei Fung, Yuyan Zhang, Carl Jacquemyn, Matthew David Jackson, Randolph R. Settgast, Sally M. Benson, Gege Wen
2026	J	`jnl`	Function-Space Decoupled Diffusion for Forward and Inverse Modeling in Carbon Capture and Storage. CoRR Xin Ju, Jiachen Yao, Anima Anandkumar, Sally M. Benson, Gege Wen
2026	J	`jnl`	Learning Pore-scale Multiphase Flow from 4D Velocimetry. CoRR 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
2024	J	`jnl`	Learning CO2 plume migration in faulted reservoirs with Graph Neural Networks. Comput. Geosci. Xin Ju, François P. Hamon, Gege Wen, Rayan Kanfar, Mauricio Araya-Polo, Hamdi A. Tchelepi
2024	J	`jnl`	Learning Pore-scale Multi-phase Flow from Experimental Data with Graph Neural Network. CoRR Yuxuan Gu, Catherine Spurin, Gege Wen
2023	J	`jnl`	Learning CO CoRR Xin Ju, François P. Hamon, Gege Wen, Rayan Kanfar, Mauricio Araya-Polo, Hamdi A. Tchelepi
2023	J	`jnl`	Optimizing Carbon Storage Operations for Long-Term Safety. CoRR Yizheng Wang, Markus Zechner, Gege Wen, Anthony Louis Corso, John Michael Mern, Mykel J. Kochenderfer, Jef Karel Caers
2022	J	`jnl`	Accelerating Carbon Capture and Storage Modeling using Fourier Neural Operators. CoRR Gege Wen, Zongyi Li, Qirui Long, Kamyar Azizzadenesheli, Anima Anandkumar, Sally M. Benson
2022	J	`jnl`	Proceedings of AAAI 2022 Fall Symposium: The Role of AI in Responding to Climate Challenges. CoRR 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
2021	J	`jnl`	CCSNet: a deep learning modeling suite for CO CoRR Gege Wen, Catherine Hay, Sally M. Benson
2021	J	`jnl`	U-FNO - an enhanced Fourier neural operator based-deep learning model for multiphase flow. CoRR Gege Wen, Zongyi Li, Kamyar Azizzadenesheli, Anima Anandkumar, Sally M. Benson
2019	J	`jnl`	Multiphase flow prediction with deep neural networks. CoRR Gege Wen, Meng Tang, Sally M. Benson