A conservative flux-form neural network jointly learns an unknown flux and a convex entropy from data, with a Rusanov-type dissipation that aims to enforce entropy stability.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
math.NA 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Neural Entropy-stable conservative flux form neural networks for learning hyperbolic conservation laws
A conservative flux-form neural network jointly learns an unknown flux and a convex entropy from data, with a Rusanov-type dissipation that aims to enforce entropy stability.