Pages that link to "Item:Q2699490"
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The following pages link to Learning invariance preserving moment closure model for Boltzmann-BGK equation (Q2699490):
Displaying 6 items.
- A neural network closure for the Euler-Poisson system based on kinetic simulations (Q2122778) (← links)
- Machine learning moment closure models for the radiative transfer equation. I: Directly learning a gradient based closure (Q2135258) (← links)
- Machine learning moment closure models for the radiative transfer equation. III: enforcing hyperbolicity and physical characteristic speeds (Q2680325) (← links)
- Data-driven, structure-preserving approximations to entropy-based moment closures for kinetic equations (Q6116200) (← links)
- Solving the Boltzmann Equation with a Neural Sparse Representation (Q6154197) (← links)
- Learning invariance preserving moment closure model for Boltzmann-BGK equation (Q6379720) (← links)
