Machine-learning-enabled models of ground water transport processes
Profile
Machine-learning-enabled models of ground water transport processes
PI: Kaushik Bhattacharya
Research Team: Mina Karimi
Division of Engineering and Applied Science
Water Resources Initiative
2021 Explorer grant
We propose to use emerging machine-learning techniques to understand the links between the various processes that govern the transport of ground water with the goal of understanding water sustainability, aquifer collapse, subsidence and geological carbon storage.