Bulletin of the American Physical Society
76th Annual Meeting of the Division of Fluid Dynamics
Sunday–Tuesday, November 19–21, 2023; Washington, DC
Session L17: Machine Learning for Inference and Analysis of Fluid Flows
8:00 AM–10:36 AM,
Monday, November 20, 2023
Room: 145B
Chair: Aaron Towne, University of Michigan
Abstract: L17.00007 : Analyzing the relationship between wake flow patterns and design element changes of automobile using machine learning*
9:18 AM–9:31 AM
Presenter:
Jun Kim
(Department of Mechanical Engineering, Hanyang University)
Authors:
Jun Kim
(Department of Mechanical Engineering, Hanyang University)
Ilhoon Jang
(Department of Mechanical Engineering, Hanyang University)
Je Hyeong Hong
(Department of Electronic Engineering, Hanyang University)
Chanhyuk Yun
(Department of Electronic Engineering, Hanyang University)
Simon Song
(Department of Mechanical Engineering, Hanyang University)
*This work was supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIT). (No. 2021R1A2B5B03002103)
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