Pages that link to "Item:Q2124336"
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The following pages link to A data-driven physics-informed finite-volume scheme for nonclassical undercompressive shocks (Q2124336):
Displaying 11 items.
- WENO3-NN: a maximum-order three-point data-driven weighted essentially non-oscillatory scheme (Q2133601) (← links)
- Consistent and symmetry preserving data-driven interface reconstruction for the level-set method (Q2135812) (← links)
- Physics-informed neural networks for inverse problems in supersonic flows (Q2157127) (← links)
- A molecular-continuum multiscale model for inviscid liquid-vapor flow with sharp interfaces (Q2675620) (← links)
- JAX-fluids: a fully-differentiable high-order computational fluid dynamics solver for compressible two-phase flows (Q6097327) (← links)
- FluxNet: a physics-informed learning-based Riemann solver for transcritical flows with non-ideal thermodynamics (Q6097610) (← links)
- Learning the Dynamics for Unknown Hyperbolic Conservation Laws Using Deep Neural Networks (Q6195013) (← links)
- Learning the flux and diffusion function for degenerate convection-diffusion equations using different types of observations (Q6492247) (← links)
- A data-driven scale-invariant weighted compact nonlinear scheme for hyperbolic conservation laws (Q6584817) (← links)
- Time integration schemes based on neural networks for solving partial differential equations on coarse grids (Q6670111) (← links)
- JAX-fluids 2.0: towards HPC for differentiable CFD of compressible two-phase flows (Q6671933) (← links)
