Expertise
Mathematics
# Coarsening
# Computational Modeling
# Fidelity
# Orthogonal Functions
# Shallow Water Equations
Physics & Astronomy
# Orthogonal Functions
# Shallow Water
Earth & Environmental Sciences
# Shallow-Water Equation
Organisations
Publications
Recent
Ephrati, S. R. (2023).
Data-driven Stochastic Modeling for Coarsened Computational Geophysical Fluid Dynamics. [PhD Thesis - Research UT, graduation UT, University of Twente]. University of Twente.
https://doi.org/10.3990/1.9789036557030
Ephrati, S. R.
, Cifani, P., Luesink, E.
, & Geurts, B. J. (2023).
Data‐Driven Stochastic Lie Transport Modeling of the 2D Euler Equations.
Journal of Advances in Modeling Earth Systems,
15(1), Article e2022MS003268.
https://doi.org/10.1029/2022MS003268
Viviani, M., Modin, K.
, Cifani, P.
, Ephrati, S. R.
, & Geurts, B. J. (2022).
Coarse-grained modelling via canonical scale separation in 2D incompressible hydrodynamics. In
DLES 13: 13th ERCOFTAC Workshop on Direct & Large Eddy Simulation, 26-28 October 2022, Udine, Italy ERCOFTAC.
Franken, A. D.
, Ephrati, S. R.
, Cifani, P.
, & Geurts, B. J. (2022).
DNS of dispersed bubbly Taylor-Couette turbulence. In
DLES 13: 13th ERCOFTAC Workshop on Direct & Large Eddy Simulation, 26-28 October 2022, Udine, Italy ERCOFTAC.
Ephrati, S. R.
, Cifani, P.
, & Geurts, B. J. (2022).
Stochastic data-driven POD-based modeling for high-fidelity coarsening of two-dimensional Rayleigh-Bénard turbulence. Manuscript in preparation. In
DLES 13: 13th ERCOFTAC Workshop on Direct & Large Eddy Simulation, 26-28 October 2022, Udine, Italy ERCOFTAC.
Ephrati, S. R., Luesink, E., Wimmer, G.
, Cifani, P.
, & Geurts, B. J. (2022).
Computational modeling for high-fidelity coarsening of shallow water equations based on subgrid data.
Multiscale Modeling and Simulation,
20(4).
https://doi.org/10.1137/21M1452871
UT Research Information System
Courses Academic Year 2023/2024
Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.
Courses Academic Year 2022/2023
Contact Details
Visiting Address
University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Carré
(building no. 15), room C3631
Hallenweg 21
7522NH Enschede
The Netherlands
Mailing Address
University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Carré
C3631
P.O. Box 217
7500 AE Enschede
The Netherlands