Repository logo

Infoscience

  • English
  • French
Log In
Logo EPFL, École polytechnique fédérale de Lausanne

Infoscience

  • English
  • French
Log In
  1. Home
  2. Academic and Research Output
  3. Conferences, Workshops, Symposiums, and Seminars
  4. Physically Consistent Neural ODEs for Learning Multi-Physics Systems
 
conference paper

Physically Consistent Neural ODEs for Learning Multi-Physics Systems

Zakwan, Muhammad  
•
Di Natale, Loris  
•
Svetozarevic, Bratislav
Show more
2023
IFAC-PapersOnLine
22nd IFAC World Congress
  • Files
  • Details
  • Metrics
Type
conference paper
DOI
10.1016/j.ifacol.2023.10.079
Author(s)
Zakwan, Muhammad  
Di Natale, Loris  
Svetozarevic, Bratislav
Heer, Philipp
Jones, Colin  
Ferrari Trecate, Giancarlo  
Date Issued

2023

Published in
IFAC-PapersOnLine
Series title/Series vol.

IFAC Proceedings Volumes

Volume

56

Issue

2

Start page

5855

End page

5860

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LA3  
LA  
Event nameEvent placeEvent date
22nd IFAC World Congress

Yokohama, Japan

July 9-14, 2023

Available on Infoscience
January 23, 2024
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/203101
Logo EPFL, École polytechnique fédérale de Lausanne
  • Contact
  • infoscience@epfl.ch

  • Follow us on Facebook
  • Follow us on Instagram
  • Follow us on LinkedIn
  • Follow us on X
  • Follow us on Youtube
AccessibilityLegal noticePrivacy policyCookie settingsEnd User AgreementGet helpFeedback

Infoscience is a service managed and provided by the Library and IT Services of EPFL. © EPFL, tous droits réservés