Workshop: Machine Learning Glassy Dynamics

Amorphous materials such as glasses have been used since prehistoric times, but in recent years their technological applications have rapidly grown. However, despite many decades of research using experiments, theory and computer simulations, fundamental mechanisms such as mechanical properties and stress relaxation in glasses are still poorly understood. In recent years, machine learning techniques have started to be applied to help solve these fundamental questions, creating a new research path to study disordered materials. This workshop is dedicated to understanding the role that machine learning can play in better understanding glasses from a fundamental perspective. The original format should trigger new collaboration work between different actors and help organise this rapidly growing research field.

Dates of conference open to all:

  • 7-8 Novembrer 2022
  • Registration deadline: 30 September 2022

Conference registration

 

Dates of organized discussions for selected participants:

  • 9-11 November 2022
  • Registration deadline: 30 September 2022

Registration for the discussion days (very limited availability): Registration for Discussion Days 

 

Organizers

  • Ludovic Berthier, CNRS Montpellier
  • Giulio Biroli, Ecole Normale Supérieure, Paris
  • Gerhard Jung, CNRS Montpellier

 

Invited Speakers

  • Victor Bapst, Google DeepMind
  • Daniele Coslovich, University of Trieste
  • Olivier Dauchot, ESPCI
  • Laura Filion, Utrecht University
  • Francois Landes, Université Paris Sud
  • Andrea Liu, UPenn
  • Sylvain Patinet, ESPCI
  • David Richard, Université Grenoble Alpes
  • Jorg Rottler, University of British Columbia
  • Miguel Ruiz-Garcia, Universidad Carlos III de Madri
  • Camille Scalliet, University of Cambridge
  • Giovanni Volpe, University of Gothenburg

More information about the workshop: Machine Learning Glassy Dynamics

Schedule (coming soon)

 

Workshop Location

  • Monday and Tuesday: Collège de France - site Ulm (3 rue d'Ulm - 75005)
  • Wednesday to Friday: Centre de Sciences de Données - École Normale Supérieure - (45 rue d’Ulm - 75005)

 

Registration 

Conference registration 

  • Conference Registration deadline : 30 September 2022

 

Registration for Discussion Days 

  • Registration deadline for Discussion Days : 30 September 2022