Bulletin of the American Physical Society
72nd Annual Meeting of the APS Division of Fluid Dynamics
Volume 64, Number 13
Saturday–Tuesday, November 23–26, 2019; Seattle, Washington
Session L17: Focus Session: Recent Advances in Data-driven and Machine Learning Methods for Turbulent Flows III
1:45 PM–3:16 PM,
Monday, November 25, 2019
Room: 4c4
Chair: Michael Brenner, Harvard University
Abstract: L17.00006 : Mechanisms of convolutional neural networks for learning three-dimensional unsteady wake flow*
2:50 PM–3:03 PM
Preview Abstract
Abstract
Authors:
Sangseung Lee
(Pohang University of Science and Technology)
Donghyun You
(Pohang University of Science and Technology)
*This work was supported by Samsung Research Funding Center of Samsung Electronics under Project Number SRFC-TB1703-01 and National Research Foundation of Korea (NRF) under Project Number NRF-2017R1E1A1A03070514.
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