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. Computational tribology: challenges and opportunities in data-driven machine learning
 
conference presentation

Computational tribology: challenges and opportunities in data-driven machine learning

Molinari, Jean-François  
June 26, 2024
City University of London, Workshop on Mechanics and Machine Learning
  • Details
  • Metrics
Type
conference presentation
Author(s)
Molinari, Jean-François  

EPFL

Date Issued

2024-06-26

Note

Invited speaker

Written at

EPFL

EPFL units
LSMS  
Event nameEvent acronymEvent placeEvent date
City University of London, Workshop on Mechanics and Machine Learning

London, UK

2024-06-26

Available on Infoscience
April 4, 2025
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/248560
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