This repository allows you to solve forward and inverse problems related to partial differential equations (PDEs) using finite basis physics-informed neural networks (FBPINNs). To improve the ...

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The objective of this package is to implement tools and operations for solving partial differential equations (PDEs) on Cartesian grids. Objects in the domain of interest are handled by immersing them ...