Partial differential equations (PDEs) play a crucial role in scientific computing. Recent advancements in deep learning have led to the development of both data-driven and and Physics-Informed Neural ...
This repository contains the implementation of the multifidelity graph neural networks (MFGNN) for efficient and accurate mesh-based partial differential equations (PDE) surrogate modeling. The ...
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