This $244,561 Project Grant awarded by the National Science Foundation (NSF) Mathematical and Physical Sciences (MPS) program supports research at the University of Missouri System's Missouri University of Science & Technology on physics-oriented numerical solutions for poromechanics modeling.
The project aims to develop robust, physics-preserving numerical algorithms and deep learning methods for solving multiple-network poroelastic theory (MPET) models, which have diverse applications in geoscience, medicine, and biophysics. Key focuses include improving mass conservation, stress tensor symmetry, and computational efficiency when handling complex physical parameters and geometries. The research will provide multidisciplinary training opportunities for graduate and undergraduate students in computational mathematics, physics, and deep learning. The effort is expected to yield numerical algorithms and models that can significantly advance computational poromechanics capabilities for scientific and engineering applications.
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