Toward Scalable and Physically-Grounded Learning Frameworks: Neural Finite Volume Methods for Solving Hyperbolic PDEs
Keywords: Physics-Informed Machine Learning; Hyperbolic PDEs; Neural Networks; Conservation Laws
Submission Number: 315
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