Sofía Angriman
Sofía Angriman
Physics of Fluids, University of Twente
Verified email at
Cited by
Cited by
Velocity and acceleration statistics in particle-laden turbulent swirling flows
S Angriman, PD Mininni, PJ Cobelli
Physical Review Fluids 5 (6), 064605, 2020
Broken mirror symmetry of tracer’s trajectories in turbulence
S Angriman, PJ Cobelli, M Bourgoin, SG Huisman, R Volk, PD Mininni
Physical Review Letters 127 (25), 254502, 2021
Assimilation of statistical data into turbulent flows using physics-informed neural networks
S Angriman, P Cobelli, PD Mininni, M Obligado, P Clark Di Leoni
The European Physical Journal E 46 (3), 13, 2023
Clustering in laboratory and numerical turbulent swirling flows
S Angriman, A Ferran, F Zapata, PJ Cobelli, M Obligado, PD Mininni
Journal of Fluid Mechanics 948, A30, 2022
Multitime structure functions and the Lagrangian scaling of turbulence
S Angriman, PD Mininni, PJ Cobelli
Physical Review Fluids 7 (6), 064603, 2022
Generation of Turbulent States using Physics-Informed Neural Networks
S Angriman, P Cobelli, P Mininni, M Obligado, PC Di Leoni
arXiv preprint arXiv:2209.04285, 2022
Characterising Single and Two-Phase Homogeneous Isotropic Turbulence with Stagnation Points
A Ferran, S Angriman, PD Mininni, M Obligado
Dynamics 2 (2), 63-72, 2022
Turbulence unsteadiness drives extreme clustering
F Zapata, S Angriman, A Ferran, PJ Cobelli, M Obligado, PD Mininni
arXiv preprint arXiv:2402.15015, 2024
Melting dynamics of an ice surface in a turbulent shear flow
S Angriman, R Yang, C Howland, R Verzicco, D Lohse, S Huisman
Bulletin of the American Physical Society, 2023
Turbulencia en flujos multifase
S Angriman
Universidad de Buenos Aires, 2023
Lagrangian particle dynamics in anisotropic turbulence
S Angriman, P Mininni, P Cobelli
StatPhys 27 Main Conference, 2019
The system can't perform the operation now. Try again later.
Articles 1–11