326 citations · 490 across the 16 of their papers we have counts for
16 papers
A Highly Scalable TDMA for GPUs and Its Application to Flow Solver Optimization
Seungchan Kim, Jihoo Kim, Sanghyun Ha +1
A tridiagonal matrix algorithm (TDMA), Pipelined-TDMA, is developed for multi-GPU systems to resolve the scalability bottlenecks caused by the sequential structure of conventional…
Particle swarm optimization of a wind farm layout with active control of turbine yaws
Jeonghwan Song, Taewan Kim, Donghyun You
Active yaw control (AYC) of wind turbines has been widely applied to increase the annual energy production (AEP) of a wind farm. AYC efficiency depends on the wind direction and th…
Non-iterative generation of an optimal mesh for a blade passage using deep reinforcement learning
Innyoung Kim, Sejin Kim, Donghyun You
A method using deep reinforcement learning (DRL) to non-iteratively generate an optimal mesh for an arbitrary blade passage is developed. Despite automation in mesh generation usin…
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…
Control of a fly-mimicking flyer in complex flow using deep reinforcement learning
Seungpyo Hong, Sejin Kim, Donghyun You
An integrated framework of computational fluid-structural dynamics (CFD-CSD) and deep reinforcement learning (deep-RL) is developed for control of a fly-scale flexible-winged flyer…