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 A31: Biological Fluid Dynamics: General I
3:00 PM–4:31 PM,
Saturday, November 23, 2019
Room: 613
Chair: Jin Liu, Washington State University
Abstract: A31.00001 : Machine learning in cardiovascular flows modeling: Predicting pulse wave propagation from non-invasive clinical measurements using physics-informed deep learning*
3:00 PM–3:13 PM
Preview Abstract
Abstract
Authors:
Georgios Kissas
(University of Pennsylvania)
Yibo Yang
(University of Pennsylvania)
Eileen Hwuang
(University of Pennsylvania)
Walter Witschey
(University of Pennsylvania)
John Detre
(University of Pennsylvania)
Paris Perdikaris
(University of Pennsylvania)
Collaborations:
CorLab, Predictive Intelligence Lab
*Acknowledgements to: DOE(grant DE-SC0019116), DARPA(grant HR00111890034). Eunice Kennedy Shriver N'tnl Institute of Child Health \& Human Development (U01-HD087180), National Institute of Biomedical Imaging \& Bioengineering (T32-EB009384) \& NSF (DGE-1321851)
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