Welcome message

This workshop aims to bring together French and European actors on the theme of artificial intelligence (AI) applied to chemistry and materials science. With both general and specific presentations, this meeting will be an opportunity to define the state of the art about applications of AI in fields like solid-state chemistry.

Registration is free and mandatory until September 14th.

We solicit submissions of novel published and on-going research related to all aspects of machine learning applied to materials science and chemistry. We suggest short abstract (< 500 words), no specific format is enforced. At the discretion of the organizers, accepted contributions will be assigned slots as contributed talks and others will be presented as posters.
The deadline for submission is September 7th.

This meeting is supported by the CNRS Energy program, MaLeFHYCe18 PEPS projet.

 J.-C. Crivello & N. Sokolovska

 

 

Confirmed speakers

  • Hédi Soula (Sorbonne Univ.): Generalized Stochastic simulation algorithm for Artificial Chemistry
  • Nataliya Sokolovska (Sorbonne Univ.): Application of Machine Learning for Materials Science
  • Thomas Cauchy & Benoit Da Mota (Univ. Angers): Prédire une géométrie moléculaire convergée par des modèles d'apprentissage automatique
  • Gilles Marcou (Univ. Strasbourg): Chemical space modeling and visualization with generative topographic maps
  • Ambroise van Roekeghem (CEA): Machine learning and high-throughput computational screening
  • Michele Ceriotti (EPFL): Machine Learning Like a Physicist

 

 

Contact

Jean-Claude Crivello : email

Follow us on Twitter:

 

 

Organization

cnrsicmpeNutriomicsSorbonne-univ

 

   

Twitter news

e
Online user: 1