13 citations · 14 across the 5 of their papers we have counts for
5 papers
SnapPINN: Pressure and Energy Dissipation Reconstruction from a Sparse and Noisy Velocity Snapshot
Robin Barta, Christian Bauer, Gholamhossein Bagheri
Reconstructing pressure and turbulence quantities from experimental velocity measurements is challenging, especially without time-resolved data. Furthermore, limitations such as lo…
Temperature and pressure reconstruction in turbulent Rayleigh-Bénard convection by Lagrangian velocities using PINN
R. Barta, M. -C. Volk, C. Bauer +2
Velocity, pressure, and temperature are the key variables for understanding thermal convection, and measuring them all is a complex task. In this paper, we demonstrate a method to…
The Lagrangian kinetic energy cascade in Rayleigh-Bénard convection
Robin Barta, Claus Wagner, Ron Shnapp
Rayleigh-Bénard convection at high Rayleigh number exhibits turbulence superimposed on large-scale circulation. While buoyancy forces drive the flow at certain scales, how kinetic…
Curvature-based energy spectra revealing flow regime changes in Rayleigh-Bénard convection
Michael Mommert, Philipp Bahavar, Robin Barta +3
We use the local curvature derived from velocity vector fields or particle tracks as a surrogate for structure size to compute curvature-based energy spectra. An application to hom…
Periodically activated physics-informed neural networks for assimilation tasks for three-dimensional Rayleigh-Bénard convection
Michael Mommert, Robin Barta, Christian Bauer +2
We apply physics-informed neural networks to three-dimensional Rayleigh-Bénard convection in a cubic cell with a Rayleigh number of Ra = 10^6 and a Prandtl number of Pr = 0.7 to as…