activity
20172022
most citedCoarse-Grid Computational Fluid Dynamic (CG-CFD) Error Prediction using Machine Learning

14 citations · 23 across the 5 of their papers we have counts for

collaborators

5 papers

physics.flu-dyn2022★ 2 cited

Interface Capturing Flow Boiling Simulations in a Compact Heat Exchanger

Anna Iskhakova, Yoshiyuki Kondo, Koichi Tanimoto +2

High-fidelity flow boiling simulations are conducted in a vertical minichannel with offset strip fins (OSF) using R113 as a working fluid. Finite-element code PHASTA coupled with l…

physics.flu-dyn2022

Direct Numerical Simulation of Low and Unitary Prandtl Number Fluids in Reactor Downcomer Geometry

Cheng-Kai Tai, Tri Nguyen, Arsen S. Iskhakov +3

Buoyancy effect on low-flow condition convective heat transfer of non-conventional coolants, such as liquid metal and molten salts, is a crucial safety factor to advanced reactors…

physics.flu-dyn2021★ 7 cited

Review of Physics-based and Data-driven Multiscale Simulation Methods for Computational Fluid Dynamics and Nuclear Thermal Hydraulics

Arsen S. Iskhakov, Nam T. Dinh

Modeling of fluid flows requires corresponding adequate and effective approaches that would account for multiscale nature of the considered physics. Despite the tremendous growth o…

physics.flu-dyn2020

Nucleate Boiling Simulation using Interface Tracking Method

Mengnan Li, Joachim Moortgat, Igor A. Bolotnov

The development and validation of 3D multiphase computational fluid dynamics (M-CFD) models and physics-informed data-driven modeling require data of high-quality and high-resoluti…

physics.flu-dyn2017★ 14 cited

Coarse-Grid Computational Fluid Dynamic (CG-CFD) Error Prediction using Machine Learning

Botros N Hanna, Nam T. Dinh, Robert W. Youngblood +1

Despite the progress in high performance computing, Computational Fluid Dynamics (CFD) simulations are still computationally expensive for many practical engineering applications s…