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 G17: Focus Session: Recent Advances in Data-driven and Machine Learning Methods for Turbulent Flows II
3:48 PM–5:32 PM,
Sunday, November 24, 2019
Room: 4c4
Chair: Pedro M. Milani, Stanford University
Abstract: G17.00004 : CFD-ready Turbulence Models from Gene Expression Programming: Unsteady Flows*
4:27 PM–4:40 PM
Preview Abstract Abstract
Authors:
Chitrarth Lav
(University of Melbourne)
Jimmy Philip
(University of Melbourne)
Richard Sandberg
(University of Melbourne)
Collaboration:
Turbulence Simulation and Modelling Group
*This work was supported by resources provided by the Pawsey Supercomputing Centre with funding from the Australian Government and the Government of Western Australia.
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