Plénières22 > Program

Instructions

Flash lab presentation

Each laboratory has the possibility to present itself in a "flash" format, with a maximum of 5 minutes. The 2 or 3 slides presentation should include clear and succinct information: name of the lab, number of staff, and research themes developed.

The pdf files should be sent before May 20 to the following address: gdr-iamat-presentations@sciencesconf.org

We invite laboratories wishing to further develop their activities to submit a "Poster" contribution.

Oral presentations

The program of presentations will be provided the week of May 16.

Short slots of 12-15min will be offered to accepted contributions.

Program

Monday May 30th Plenaries
Gérald Biau (director SCAI): general introduction
Cosmin Marinica (CEA): (Physics informed) Machine Learning for atomistic materials Science
Vincent Favre-Nicolin (ESRF): AI for automated data collection and analysis-an ESRF perspective
Nicola Marzari (EPFL): Digital infrastructure empwering materials discovery

Tuesday May 31 Plenaries
Gian-Marco Rignanese (UC Louvain): OPTIMADE: A Common REST API for Materials Databases Interoperability
Jean-Luc Parouty (SIMAP): Deep Learning, history and principles, from regression to GANs
Maxime Sangnier (Sorbonne University): A review of classification and clustering algorithms
Sandrine Lyonnard (SyMMES):  Accelerating the characterization of batteries : multimodal and multitechniques integrated workflows
Gérard Ramstein (Nantes university): Solving optimization problems with machine learning - Application to materials science