Skip to main contentSkip to search
Episciences
Open Access Journals
Sign in(new window)
Multidisciplinary Biomechanics Journal logo
Multidisciplinary Biomechanics Journal
Multidisciplinary Biomechanics Journal logo
Multidisciplinary Biomechanics Journal
Sign in(new window)
Articles & Issues
All articlesAll accepted articlesAll volumesLast volumeSectionsProceedingsAuthors
About
AboutAcknowledgementsIndexingNews
Boards
Publish
For authorsEthical charter
Submit
Multidisciplinary Biomechanics Journal logo
Journal's leaflet
|
Contact
|
Credits
eISSN 3076-1158
|
RSS
|
Atom
Episciences
Documentation
|
Acknowledgements
|
Publishing policy
Accessibility: non-compliant
|
Legal mentions
|
Privacy statement
|
Terms of use
  1. Home > Articles & Issues >
  2. Articles >
  3. Physics-Informed Dee ...
Article

Physics-Informed Deep Learning Surrogates for Aneurysm Blood Flow Simulation

Oscar L. Cruz-González (1), Valérie Deplano, Badih Ghattas
(1) Institut de Recherche sur les Phénomènes Hors Equilibre
Download article
Open on HAL
Publication details
Imported on
October 23, 2025
Published on
October 24, 2025
Last modified on
November 26, 2025
Proceedings 2
50th congress of the Société de Biomécanique
Fluid and biological flows
DOI
10.46298/mbj.16176
License
Attribution 4.0 International (CC BY 4.0)
Indicators
119
Views
39
Downloads

Physics-Informed Deep Learning Surrogates for Aneurysm Blood Flow Simulation

Oscar L. Cruz-González (1), Valérie Deplano, Badih Ghattas
(1) Institut de Recherche sur les Phénomènes Hors Equilibre
Keywords
  • [PHYS.MECA.BIOM]Physics [physics]/Mechanics [physics]/Biomechanics [physics.med-ph]
  • Physics-Informed Neural Networks (PINNs)
  • Deep Operator Networks (DeepONets)
  • Abdominal Aortic Aneurysm (AAA)
  • Computational Fluid Dynamics (CFD)
  • Surrogate Modeling
Preview
Loading PDF preview...