This Project Grant, awarded by the National Science Foundation (NSF) under the Geosciences program (CFDA 47.050), is funding a $175,000 collaborative research project to develop an AI model that can better understand fault dynamics and the evolution of stress within complex fault networks. The project, led by the California Institute of Technology (Caltech), aims to build a multiphysics fault network model that can discover reduced-order governing equations to assess regional earthquake and hazard probabilities in tectonically active regions, such as the Southern Permian Basin in the Netherlands. The research will utilize satellite data, subsurface imagery, and other geological information to gain insights into sustainable and cleaner energy processes. The project also includes plans for joint workshops on AI in computational mechanics and seismology to train, upskill, and engage a diverse group of undergraduate and graduate students. This award, effective from October 1, 2024, to September 30, 2027, reflects NSF's commitment to advancing scientific understanding and supporting technological innovations that can contribute to hazard assessment and sustainable energy development.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $175.0k | 8/29/24 |