On energy consistency of intermediate states in HLL-type MHD Riemann solvers
Fuente:
arXiv
Guardado en:
| Autores principales: | Zhang, Fan, Lani, Andrea, Poedts, Stefaan |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
On the development of OpenFOAM solvers for simulating MHD micropolar fluid flows with or without the effect of micromagnetorotation
por: Aslani, Kyriaki-Evangelia, et al.
Publicado: (2025)
por: Aslani, Kyriaki-Evangelia, et al.
Publicado: (2025)
An approximate Riemann solver approach in Physics-Informed Neural Networks for hyperbolic conservation laws
por: Urbán, Jorge F., et al.
Publicado: (2025)
por: Urbán, Jorge F., et al.
Publicado: (2025)
Physics-based r-adaptive algorithms for high-speed flows and plasma simulations
por: Ameur, Firas Ben, et al.
Publicado: (2018)
por: Ameur, Firas Ben, et al.
Publicado: (2018)
Experimental investigation of intermediate-dissipation range energy spectra in shear turbulence
por: Gupta, Dipendra, et al.
Publicado: (2026)
por: Gupta, Dipendra, et al.
Publicado: (2026)
Accelerating high-order energy-stable discontinous Galerkin solver using auto-differentiation and neural networks
por: Wang, Xukun, et al.
Publicado: (2025)
por: Wang, Xukun, et al.
Publicado: (2025)
Statistical State Dynamics of Couette MHD Turbulence
por: Kim, Eojin, et al.
Publicado: (2025)
por: Kim, Eojin, et al.
Publicado: (2025)
Neural network-based Godunov corrections for approximate Riemann solvers using bi-fidelity learning
por: Thakur, Akshay, et al.
Publicado: (2025)
por: Thakur, Akshay, et al.
Publicado: (2025)
Two-phase stratified MHD flows in rectangular ducts
por: Pal, Subham, et al.
Publicado: (2026)
por: Pal, Subham, et al.
Publicado: (2026)
Optimal airfoils in the intermediate Reynolds number range
por: Zhdanko, Gleb, et al.
Publicado: (2026)
por: Zhdanko, Gleb, et al.
Publicado: (2026)
A multi-ansatz variational quantum solver for compressible flows
por: Yao, Shaobo, et al.
Publicado: (2025)
por: Yao, Shaobo, et al.
Publicado: (2025)
Validation of a high-order finite difference compressible solver
por: Kang, Yujoo, et al.
Publicado: (2026)
por: Kang, Yujoo, et al.
Publicado: (2026)
A solver for subsonic flow around airfoils based on physics-informed neural networks and mesh transformation
por: Cao, Wenbo, et al.
Publicado: (2024)
por: Cao, Wenbo, et al.
Publicado: (2024)
Long-wave instability of stratified two-phase MHD flow
por: Parfenov, Arseniy, et al.
Publicado: (2025)
por: Parfenov, Arseniy, et al.
Publicado: (2025)
An efficient and generalized consistency correction method for weakly-compressible SPH
por: Ren, Yaru, et al.
Publicado: (2023)
por: Ren, Yaru, et al.
Publicado: (2023)
Cross-validation of meshless Navier-Stokes solvers in porous media flows
por: Strzelczyk, Dawid, et al.
Publicado: (2024)
por: Strzelczyk, Dawid, et al.
Publicado: (2024)
Some remarks on the objectivity and thermodynamic consistency of Korteweg-type fluids
por: Ván, Peter
Publicado: (2025)
por: Ván, Peter
Publicado: (2025)
Chaotic/turbulent cross-helical MHD dynamo: from laboratory to the Sun
por: Bershadskii, A.
Publicado: (2025)
por: Bershadskii, A.
Publicado: (2025)
TURB-MHD: an open-access database of forced homogeneous magnetohydrodynamic turbulence
por: Capocci, Damiano, et al.
Publicado: (2025)
por: Capocci, Damiano, et al.
Publicado: (2025)
Solving all laminar flows around airfoils all-at-once using a parametric neural network solver
por: Cao, Wenbo, et al.
Publicado: (2025)
por: Cao, Wenbo, et al.
Publicado: (2025)
Data-driven computation of adjoint sensitivities without adjoint solvers: An application to thermoacoustics
por: Ozan, Defne E., et al.
Publicado: (2024)
por: Ozan, Defne E., et al.
Publicado: (2024)
Aerodynamic equilibria and flight stability of plates at intermediate Reynolds numbers
por: Pomerenk, Olivia, et al.
Publicado: (2024)
por: Pomerenk, Olivia, et al.
Publicado: (2024)
On the consistency of pseudo-potential lattice Boltzmann methods
por: Czelusniak, Luiz Eduardo, et al.
Publicado: (2025)
por: Czelusniak, Luiz Eduardo, et al.
Publicado: (2025)
Thermodynamically consistent large-eddy simulation models
por: Dubos, Thomas
Publicado: (2026)
por: Dubos, Thomas
Publicado: (2026)
upstreamFoam: an OpenFOAM-based solver for heterogeneous porous media at different scales
por: Lange, Roberto, et al.
Publicado: (2023)
por: Lange, Roberto, et al.
Publicado: (2023)
RiemannONets: Interpretable Neural Operators for Riemann Problems
por: Peyvan, Ahmad, et al.
Publicado: (2024)
por: Peyvan, Ahmad, et al.
Publicado: (2024)
A consistent δ-Plus-ULPH model towards higher accuracy and lower numerical dissipation with fewer neighboring particles
por: Wu, Shi-Xian, et al.
Publicado: (2025)
por: Wu, Shi-Xian, et al.
Publicado: (2025)
Kinetic framework with consistent hydrodynamics for shallow water equations
por: Hosseini, S. A., et al.
Publicado: (2025)
por: Hosseini, S. A., et al.
Publicado: (2025)
Shear Stress and Fluid-Wall Interaction Force in LBM Simulations of Hydrodynamic and MHD Flows
por: Li, Jun
Publicado: (2025)
por: Li, Jun
Publicado: (2025)
Two-phase stratified MHD flows in wide rectangular ducts: analytical and numerical solutions
por: Barmak, Ilya, et al.
Publicado: (2025)
por: Barmak, Ilya, et al.
Publicado: (2025)
Consistent continuum equations and numerical benchmarks for a perturbation-based, variable-coefficient acoustofluidic solver
por: Kshetri, Khemraj Gautam, et al.
Publicado: (2025)
por: Kshetri, Khemraj Gautam, et al.
Publicado: (2025)
Reduced-order turbulent flow solver to simulate streamwise periodic fins with iso-thermal walls
por: Anand, Nitish, et al.
Publicado: (2026)
por: Anand, Nitish, et al.
Publicado: (2026)
CaLES: A GPU-accelerated solver for large-eddy simulation of wall-bounded flows
por: Xiao, Maochao, et al.
Publicado: (2024)
por: Xiao, Maochao, et al.
Publicado: (2024)
Freezing dynamics of the ferrofluid droplet in a uniform magnetic field using the lattice Boltzmann flux solver
por: Zhou, Jinxiang, et al.
Publicado: (2025)
por: Zhou, Jinxiang, et al.
Publicado: (2025)
A fully conservative discrete velocity Boltzmann solver with parallel adaptive mesh refinement for compressible flows
por: Strässle, Ruben M., et al.
Publicado: (2025)
por: Strässle, Ruben M., et al.
Publicado: (2025)
uniGasFoam: a particle-based OpenFOAM solver for multiscale rarefied gas flows
por: Vasileiadis, Nikos, et al.
Publicado: (2024)
por: Vasileiadis, Nikos, et al.
Publicado: (2024)
cfdmfFTFoam: A front-tracking solver for multiphase flows on general unstructured grids in OpenFOAM
por: Amani, Ehsan
Publicado: (2026)
por: Amani, Ehsan
Publicado: (2026)
Numerical investigation of wake dynamics and heat transfer in MHD flows around confined triangular prisms
por: Akkaladevi, Amulya Sai, et al.
Publicado: (2025)
por: Akkaladevi, Amulya Sai, et al.
Publicado: (2025)
Self-consistent model for active control of wind turbine wakes
por: Li, Zhaobin, et al.
Publicado: (2025)
por: Li, Zhaobin, et al.
Publicado: (2025)
Passive scalar cascade in the intermediate layer of turbulent channel flow for $Pr\leq 1$
por: Gallorini, Emanuele, et al.
Publicado: (2025)
por: Gallorini, Emanuele, et al.
Publicado: (2025)
Prediction of turbulent energy based on low-rank resolvent modes and machine learning
por: Fan, Yitong, et al.
Publicado: (2024)
por: Fan, Yitong, et al.
Publicado: (2024)
Ejemplares similares
-
On the development of OpenFOAM solvers for simulating MHD micropolar fluid flows with or without the effect of micromagnetorotation
por: Aslani, Kyriaki-Evangelia, et al.
Publicado: (2025) -
An approximate Riemann solver approach in Physics-Informed Neural Networks for hyperbolic conservation laws
por: Urbán, Jorge F., et al.
Publicado: (2025) -
Physics-based r-adaptive algorithms for high-speed flows and plasma simulations
por: Ameur, Firas Ben, et al.
Publicado: (2018) -
Experimental investigation of intermediate-dissipation range energy spectra in shear turbulence
por: Gupta, Dipendra, et al.
Publicado: (2026) -
Accelerating high-order energy-stable discontinous Galerkin solver using auto-differentiation and neural networks
por: Wang, Xukun, et al.
Publicado: (2025)