关注
JONGHWAN PARK
JONGHWAN PARK
Hyundai motor company
在 snu.ac.kr 的电子邮件经过验证
标题
引用次数
引用次数
年份
Toward neural-network-based large eddy simulation: Application to turbulent channel flow
J Park, H Choi
Journal of Fluid Mechanics 914, A16, 2021
1172021
Machine-learning-based feedback control for drag reduction in a turbulent channel flow
J Park, H Choi
Journal of Fluid Mechanics 904, A24, 2020
532020
Large eddy simulation of flow over a circular cylinder with a neural-network-based subgrid-scale model
M Kim, J Park, H Choi
Journal of Fluid Mechanics 984, A6, 2024
82024
Prediction and control of turbulent channel flow with deep learning
J Park, H Choi
Bulletin of the American Physical Society 63, 2018
22018
Direct numerical simulation of flow over riblets with the yaw angle
J Park, H Choi
APS Division of Fluid Dynamics Meeting Abstracts, A16. 009, 2017
12017
Effect of the yaw angle on the riblet performance
J Park, H Choi
Physics of Fluids 36 (6), 2024
2024
A recursive neural-network-based subgrid-scale model for large eddy simulation: application to homogeneous isotropic turbulence
C Cho, J Park, H Choi
arXiv preprint arXiv:2312.15143, 2023
2023
Toward neural-network-based large eddy simulation: application to turbulent flow over a circular cylinder
M Kim, J Park, H Choi
Bulletin of the American Physical Society 67, 2022
2022
LARGE EDDY SIMULATION WITH A NEURAL-NETWORK-BASED SUBGRID-SCALE MODEL
J Park, H Choi
한국전산유체공학회 학술대회논문집, 51-51, 2021
2021
Modeling of the subgrid-scale stress with a neural network and its application to turbulent channel and backward-facing-step flows
J PARK
서울대학교 대학원, 2021
2021
A neural-network-based subgrid-scale model for LES of turbulent channel flow
J Park, H Choi
APS Division of Fluid Dynamics Meeting Abstracts, X11. 005, 2020
2020
LES of turbulent channel flow using an artificial neural network
J Park, H Choi
APS Division of Fluid Dynamics Meeting Abstracts, G17. 006, 2019
2019
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