Continuous conditional generative adversarial networks for data-driven solutions of poroelasticity with heterogeneous material properties

T. Kadeethum, D. O'Malley, Y. Choi +3

Machine learning-based data-driven modeling can allow computationally efficient time-dependent solutions of PDEs, such as those that describe subsurface multiphysical problems. In…