Partial differential equations (PDEs) are equations that involve partial derivatives of an unknown function with respect to several independent variables. The formulation of PDEs with the unknown ...

The integration of deep learning techniques and physics-driven designs is reforming the way we address inverse problems, in which accurate physical properties are extracted from complex observations.