Showing physics.flu-dynShow all
3 papers · 1 filter
physics.flu-dyn2026
Neptuna: A Comprehensive Machine Learning Framework for Benchmarking Complex Multiphase Flows
Harish Ramachandran, Björn Kimpel, Thomas Paula +3
Compressible multiphase flows involving shocks and material interfaces arise in applications such as bubble collapse and droplet breakup, where strong nonlinear interactions produc…
physics.flu-dyn2026
Tensor Network Lattice Boltzmann Method for Data-Compressed Fluid Simulations
Lukas Gross, Elie Mounzer, David M. Wawrzyniak +2
Resolving unsteady transport phenomena in geometrically complex domains is traditionally constrained by polynomial scaling of computational cost with spatial resolution. While meth…
physics.flu-dyn2026
Hybrid Fourier Neural Operator-Lattice Boltzmann Method
Alexandra Junk, Josef M. Winter, Meike Tütken +2
We propose an accelerated computational fluid dynamics framework based on a hybrid Fourier Neural Operator-Lattice Boltzmann Method (FNO-LBM) for steady and unsteady weakly compres…