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Gege Wen
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2020 – today
- 2024
- [j1]Xin Ju, François P. Hamon, Gege Wen, Rayan Kanfar, Mauricio Araya-Polo, Hamdi A. Tchelepi:
Learning CO2 plume migration in faulted reservoirs with Graph Neural Networks. Comput. Geosci. 193: 105711 (2024) - 2023
- [i7]Yizheng Wang, Markus Zechner, Gege Wen, Anthony Louis Corso, John Michael Mern, Mykel J. Kochenderfer, Jef Karel Caers:
Optimizing Carbon Storage Operations for Long-Term Safety. CoRR abs/2304.09352 (2023) - [i6]Xin Ju, François P. Hamon, Gege Wen, Rayan Kanfar, Mauricio Araya-Polo, Hamdi A. Tchelepi:
Learning CO2 plume migration in faulted reservoirs with Graph Neural Networks. CoRR abs/2306.09648 (2023) - 2022
- [i5]Gege Wen, Zongyi Li, Qirui Long, Kamyar Azizzadenesheli, Anima Anandkumar, Sally M. Benson:
Accelerating Carbon Capture and Storage Modeling using Fourier Neural Operators. CoRR abs/2210.17051 (2022) - [i4]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:
Proceedings of AAAI 2022 Fall Symposium: The Role of AI in Responding to Climate Challenges. CoRR abs/2212.13631 (2022) - 2021
- [i3]Gege Wen, Catherine Hay, Sally M. Benson:
CCSNet: a deep learning modeling suite for CO2 storage. CoRR abs/2104.01795 (2021) - [i2]Gege Wen, Zongyi Li, Kamyar Azizzadenesheli, Anima Anandkumar, Sally M. Benson:
U-FNO - an enhanced Fourier neural operator based-deep learning model for multiphase flow. CoRR abs/2109.03697 (2021)
2010 – 2019
- 2019
- [i1]Gege Wen, Meng Tang, Sally M. Benson:
Multiphase flow prediction with deep neural networks. CoRR abs/1910.09657 (2019)
Coauthor Index
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