32 citations · 37 across the 4 of their papers we have counts for
5 papers · 1 filter
Prediction of typhoon tracks using a generative adversarial network with observational and meteorological data
Mario Rüttgers, Sangseung Lee, Donghyun You
Tracks of typhoons are predicted using a generative adversarial network (GAN) with observational data in form of satellite images and meteorological data from a reanalysis database…
A scalable multi-GPU method for semi-implicit fractional-step integration of incompressible Navier-Stokes equations
Sanghyun Ha, Junshin Park, Donghyun You
A new flow solver scalable on multiple Graphics Processing Units (GPUs) for direct numerical simulation of wall-bounded incompressible flow is presented. This solver utilizes a pre…
Deep learning approach in multi-scale prediction of turbulent mixing-layer
Jinu Lee, Sangseung Lee, Donghyun You
Achievement of solutions in Navier-Stokes equation is one of challenging quests, especially for its closure problem. For achievement of particular solutions, there are variety of n…
Typhoon track prediction using satellite images in a Generative Adversarial Network
Mario Rüttgers, Sangseung Lee, Donghyun You
Tracks of typhoons are predicted using satellite images as input for a Generative Adversarial Network (GAN). The satellite images have time gaps of 6 hours and are marked with a re…
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…