This repository implements advanced physics-driven deep learning frameworks for solving partial differential equations (PDEs) and related inverse problems. These methods leverage deep neural networks ...
To demonstrate its practical application, the code solves a PDE derived from a predator-prey model. This model is renowned for generating solutions that exhibit Turing patterns, which are observed in ...
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