6 citations · 9 across the 3 of their papers we have counts for
3 papers
physics.flu-dyn2024
Learning Pore-scale Multi-phase Flow from Experimental Data with Graph Neural Network
Yuxuan Gu, Catherine Spurin, Gege Wen
Understanding the process of multiphase fluid flow through porous media is crucial for many climate change mitigation technologies, including CO geological storage, hydrogen st…
cs.AI2023★ 3 cited
Optimizing Carbon Storage Operations for Long-Term Safety
Yizheng Wang, Markus Zechner, Gege Wen +4
To combat global warming and mitigate the risks associated with climate change, carbon capture and storage (CCS) has emerged as a crucial technology. However, safely sequestering C…
cs.AI2023★ 6 cited
Proceedings of AAAI 2022 Fall Symposium: The Role of AI in Responding to Climate Challenges
Feras A. Batarseh, Priya L. Donti, Ján Drgoňa +14
Climate change is one of the most pressing challenges of our time, requiring rapid action across society. As artificial intelligence tools (AI) are rapidly deployed, it is therefor…