Preprint
Jul 2026
CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws
We present CoFINN (Conservation Flux Informed Neural Networks), a physics-informed deep learning framework for predicting compressible flow fields governed by conservation laws. Unlike conventional data-driven convolutional neural networks (CNNs), which optimize only pixel-wise similarity metrics, CoFINN embeds finite-...
Adnan Harun Dougan, Mert Deniz, Hande Alemdar et al.
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