3 papers
physics.flu-dyn2025
AI-Accelerated Operator Learning Framework for Rarefied Microflows
Ehsan Roohi
The high computational cost of kinetic solvers such as DSMC remains a major challenge in rarefied flow simulations. This work presents a unified framework combining deep neural net…
physics.flu-dyn2025
Deep Learning Surrogates for Gas Dynamics: A Physics-Informed Pedagogical Approach
Ehsan Roohi
Compressible flow problems are characterized by highly nonlinear, implicit, and often transcendental governing equations. In undergraduate gas dynamics education, solving these equ…
physics.flu-dyn2025
Passive Cavitation Mitigation on Hydrofoils via Porous Media: A Comparative Study of LES and RANS Models
Ali Alavi, Maziyar Ghasemnezhad, Ali Sangtarash +1
This study numerically investigates the use of porous media as a passive strategy for mitigating cavitation on a NACA 66 (MOD) hydrofoil subjected to unsteady two-phase flow.