Dr. Robin Karl Barta
Robin Barta studied physics at the University of Leipzig, finishing with a master's thesis on caustics in turbulent aerosols.
During his PhD, he developed a comprehensive particle tracking velocimetry framework called proPTV, as well as a post-processing method for physically correcting Lagrangian fields. This method can reconstruct unknown fields such as pressure and temperature from measured velocities only, using PINNs. He conducted long-term measurements in cubic Rayleigh–Bénard convection and examined the reorientation dynamics of the large-scale circulation.
After successfully defending his PhD, he joined the Turbulence and Particles in Fluids group as a postdoctoral researcher in January 2026, focusing on cloud microphysics and modern optical measurement routines.
Publications
R. Barta. Reorientations in cubic Rayleigh-Bénard convection studied with probabilistic particle tracking velocimetry and the assimilation of pressure and temperature. PhD Thesis.
https://doi.org/10.22032/dbt.68094
R. Barta, M.-C, Volk, C. Bauer, C. Wagner, M. Mommert. Temperature and pressure reconstruction in turbulent Rayleigh-Bénard convection by Lagrangian velocities using PINN,
Measurement, Science and Technology, 2025.
https://doi.org/10.1088/1361-6501/adee38
R. Barta, M.-C. Volk, M. Mommert, C. Bauer and C. Wagner. Comparing assimilation techniques for pressure and temperature fields in Rayleigh-Bénard convection.
Springer notes on Numerical Fluid Mechanics and Multidisciplinary Design - New Results in Numerical and Experimental Fluid Mechanics XV, 2025.
https://doi.org/10.1007/978-3-032-11115-9_54
M. Mommert, P. Bahavar, R. Barta, C. Bauer, M.-C. Volk, C. Wagner. Curvature-based energy spectra revealing flow regime changes in Rayleigh-Bénard convection, European Journal of Mechanics – B/Fluids, 2025.
https://doi.org/10.1016/j.euromechflu.2025.204343
R. Barta, A. Liberzon, and R. Shnapp. Comparison of camera calibration methods for particle tracking velocimetry. Measurement, Science and Technology, 2025.
https://doi.org/10.1088/1361-6501/adc6a2
R. Barta, C. Bauer, S. Herzog, D. Schiepel, C. Wagner. proPTV: A comprehensive framework for probability-based particle tracking velocimetry and data assimilation. Journal of Computational Physics, 2024.
https://doi.org/10.1016/j.jcp.2024.113212
M. Mommert, R. Barta, C. Bauer, M. C. Volk, and C. Wagner. Periodically activated physics-informed neural networks for assimilation tasks for three-dimensional Rayleigh-Bénard convection. Computers and Fluids, 2024.
https://doi.org/10.1016/j.compfluid.2024.106419
R. Barta, and C. Wagner. Large scale reorientation in cubic Rayleigh-Bénard convection using particle tracking velocimetry. Journal of Turbulence, 2024.
https://doi.org/10.1080/14685248.2024.2436843
R. Barta, C. Bauer, D. Schiepel, and C. Wagner. Corner circulation scaling laws of turbulent Rayleigh-Bénard convection in a cubic cell. Springer Proceedings in Physics - Progress in Turbulence X, 2024.
https://doi.org/10.1007/978-3-031-55924-2_46
R. Barta, J. Vollmer. Caustics in turbulent aerosols: an excitable system approach.
Journal of Fluid Mechanics, 2022.
https://doi.org/10.1017/jfm.2022.767
S. Herzog, D. Schiepel, I. Guido, R Barta, C Wagner. A probabilistic particle tracking
framework for guided and Brownian motion systems with high particle densities.
Springer Nature - Computer Science, 2021.
https://doi.org/10.1007/s42979-021-00879-z