Bulletin of the American Physical Society
71st Annual Meeting of the APS Division of Fluid Dynamics
Volume 63, Number 13
Sunday–Tuesday, November 18–20, 2018; Atlanta, Georgia
Session Q01: Nonlinear Dynamics: Model Reduction II
12:50 PM–3:26 PM,
Tuesday, November 20, 2018
Georgia World Congress Center
Room: B201
Chair: Pedram Hassenzadeh, Rice University
Abstract ID: BAPS.2018.DFD.Q01.3
Abstract: Q01.00003 : Deep learning of dynamics and signal-noise decomposition with time-stepping constraints*
1:16 PM–1:29 PM
Presenter:
Samuel Rudy
(University of Washington Department of Applied Mathematics)
Authors:
Samuel Rudy
(University of Washington Department of Applied Mathematics)
Nathan Kutz
(University of Washington Department of Applied Mathematics)
Steven L Brunton
(University of Washington Department of Mechanical Engineering)
*We acknowledge generous funding from the Army Research Office (ARO W911NF-17-1-0306 and W911NF-17-1-0422) and the Air Force Office of Scientific Research (AFOSR FA9550-18-1-0200).
To cite this abstract, use the following reference: http://meetings.aps.org/link/BAPS.2018.DFD.Q01.3
Follow Us |
Engage
Become an APS Member |
My APS
Renew Membership |
Information for |
About APSThe American Physical Society (APS) is a non-profit membership organization working to advance the knowledge of physics. |
© 2024 American Physical Society
| All rights reserved | Terms of Use
| Contact Us
Headquarters
1 Physics Ellipse, College Park, MD 20740-3844
(301) 209-3200
Editorial Office
100 Motor Pkwy, Suite 110, Hauppauge, NY 11788
(631) 591-4000
Office of Public Affairs
529 14th St NW, Suite 1050, Washington, D.C. 20045-2001
(202) 662-8700