326 citations · 490 across the 16 of their papers we have counts for
6 papers · 1 filter
A realizable second-order advection method with variable flux limiters for moment transport equations
Byeongyeob Choi, Jehyun Baek, Donghyun You
A second-order total variation diminishing (TVD) method with variable flux limiters is proposed to overcome the non-realizability issue, which has been one of major obstacles in ap…
Neural-network-based mixed subgrid-scale model for turbulent flow
Myeongseok Kang, Youngmin Jeon, Donghyun You
An artificial neural-network-based subgrid-scale model using the resolved stress, which is capable of predicting untrained decaying isotropic turbulence, is developed. Providing th…
Numerical modeling of bubble-particle interaction in a volume-of-fluid framework
Hojun Moon, Jeongbo Shim, Donghyun You
A numerical method is presented to simulate gas-liquid-solid flows with bubble-particle interaction, including particle collision, sliding, and attachment. Gas-liquid flows are sim…
Mechanisms of a Convolutional Neural Network for Learning Three-dimensional Unsteady Wake Flow
Sangseung Lee, Donghyun You
Convolutional neural networks (CNNs) have recently been applied to predict or model fluid dynamics. However, mechanisms of CNNs for learning fluid dynamics are still not well under…
Data-driven prediction of unsteady flow fields over a circular cylinder using deep learning
Sangseung Lee, Donghyun You
Unsteady flow fields over a circular cylinder are trained and predicted using four different deep learning networks: convolutional neural networks with and without consideration of…
Prediction of laminar vortex shedding over a cylinder using deep learning
Sangseung Lee, Donghyun You
Unsteady laminar vortex shedding over a circular cylinder is predicted using a deep learning technique, a generative adversarial network (GAN), with a particular emphasis on elucid…