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S.R. Ephrati (Sagy)

Expertise

Mathematics
Coarsening
Computational Modeling
Fidelity
Orthogonal Functions
Shallow Water Equations
Physics & Astronomy
Orthogonal Functions
Shallow Water
Earth & Environmental Sciences
Shallow-Water Equation

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. , Cifani, P., Krull, B., Fröhlich, J. , & Geurts, B. (2021). Assessment of High-Resolution Numerical Simulation of Bubble-Wall Collision. In ETMM13 Rhodes, Greece 15-17 September, 2021: Conference Proceedings (pp. 229-231). Easy Conferences Ltd. https://easyconferences.eu/etmm13/proceedings/

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
Drienerlolaan 5
7522 NB Enschede
The Netherlands

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Mailing Address

University of Twente
P.O. Box 217
7500 AE Enschede
The Netherlands