This federal Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) provides $599,999 to the University of Southern California (USC) to develop novel artificial intelligence (AI) solutions for modeling and predicting subsurface flow and transport dynamics. The objective is to create physics-informed causal deep learning models (PINCER) that can effectively capture spatial and temporal relationships in complex subsurface systems, such as groundwater aquifers, geothermal energy resources, and geologic carbon storage. This research aims to improve the efficiency and robustness of modeling fluid flow and transport processes in subsurface environments, with potential impact on critical societal applications like climate change mitigation and sustainable resource management. The award period runs from September 2024 to August 2027, and the project will involve training students, disseminating research findings, and developing outreach programs to broaden the impact.
Generated 3/25/25, 5:03 AM