Preprint Open access
Gen-PINNs: Generative Adversarial Physics Informed Neural Networks for solving partial differential equations
Physics-Informed Neural Networks (PINNs) are a widely used data-free method for solving Partial Differential Equations (PDEs) using machine learning. With recent advances in Generative Adversarial Networks (GANs), adversarial learning has shown strong capabilities for modeling complex data-driven problems; however, the …