Machine Learning and Materials Discovery

9 sept. 2024, 08:00 → 27 sept. 2024, 17:00 Europe/Paris

Institut Pascal

Program Overview

Institut Pascal of Paris-Saclay University offers an intensive 1-week residential program (September 9th-13th) comprising lectures and workshops devoted to theory and applications of machine learning in material science. The program comprises a morning series of lectures devoted to theory and tools. The participants put into practice what they learned during the morning classes during the afternoon practicals. This school is for graduate students, postdoctoral fellows, and professionals aiming to transcend traditional disciplinary boundaries. 

Dates & Times

Attending the school is a full-time (all-day) commitment. All participants are expected to attend the entire 1-week program in person. We expect interactions among a diverse group of participants that can help foster research projects and connect with future colleagues and collaborators of the Paris-Saclay research community. 

We invite prospective students to complete their registration file before July  1st, 2024. 

The students will be officially notified about the result of their application by July 5th, 2024.  

VENUE

The Summer School sessions take place at Institut Pascal of the University Paris-Saclay in Orsay, France. Participants are accommodated in hotels and residences on the university campus.

Invited lecturers

Confirmed speakers include:

• Maxime Moreaud (IFPEN, Lyon, France) • introduction and methods,
• Ralf Drautz ( Ruhr-Universität Bochum, Germany) • building interatomic potentials, 
• Jaysen Nelayah (Université Paris Cité, France)  processing experimental data, 
• Mikäel Perrut (French Aerospace Lab Onera, France) • data optimization and development of innovative materials.

Registration Fee

We offer the selected participants a registration that covers course-related costs, accommodations, and meals during this first week. Students are responsible for the costs of travel and visa. 

An extended stay program following the 1-week school can be offered to a subset of students to reinforce or create collaborations with the laboratories of the Institut Intégratif des Matériaux of University Paris-Saclay. The participants interested in this opportunity need to register with the school and establish a joint research program with the laboratories of the Institute (see list). The Institut Intégratif des Matériaux will cover the accommodation and meals costs for this subset of students during the entire duration of their stay (September 9th to 27th). This extended stay program provides an unparalleled opportunity for early-career researchers to expand their professional networks, produce a novel research product, and gain valuable experience working in transdisciplinary teams. During their extended stay, the students will work in the hosting laboratories and attend a cycle of bi-weekly seminars covering the latest applications of Machine Learning to diverse research questions. 

The students not selected for this extended stay program, are also welcome to attend the cycle of seminars (September 16th to 27th), though we will not cover their costs after September 13th. Therefore, they are invited to seek additional funding from their home institution to cover their stay after the first week. 

 

ORGANIZERS

Gianguido Baldinozzi (SPMS, CentraleSupelec-CNRS, France), Daniel Bonamy (SPEC. CEA Paris-Saclay, France), Riccardo Gatti (LEM CNRS-ONERA, France).

SCIENTIFIC COMMITTEE

Hakim Amara (LEM, ONERA-CNRS, France), Jean-Luc Béchade (SRMP, CEA Paris-Saclay, France), Fabienne Berthier (ICMMO, University Paris-Saclay, France), Marie-Pierre Gaigeot (LAMBE, University Paris-Saclay, France), Patrick Guénoun (NIMBE,CEA Paris-Saclay, France),  Annick Loiseau (LEM, ONERA-CNRS, France), Bertrand Poumellec (ICMMO, University Paris-Saclay, France), Cindy Rountree (SPEC, CEA Paris-Saclay, France), Pierfrancesco Urbani (IPhT, CEA Paris-Saclay, France), François Willaime (DES, CEA Paris-Saclay, France).

 

 

 

lundi 9 septembre

Registrations

Introduction: Institut Pascal

1 Introduction - MLMD

General information about the school and the program

Deep Learning and Materials Discovery, introduction and methods

Maxime Moreaud (Chercheur IFPEN Lyon, co-créator et
développeur du logiciel plugim)

Président de session: Maxime Moreaud (IFPEN Lyon)

Coffee break

Deep Learning and Materials Discovery, introduction and methods

Maxime Moreaud (Chercheur IFPEN Lyon, co-créator et
développeur du logiciel plugim)

Président de session: Maxime Moreaud (IFPEN Lyon)

Lunch

TP

16:00 Coffee break

TP

mardi 10 septembre

Learning Atomic Interactions

Président de session: Ralf Drautz (Bochum University)

Coffee break

Learning Atomic Interactions

Président de session: Ralf Drautz (Bochum University)

Lunch

TP

Coffee break

Flash presentation

mercredi 11 septembre

Deep Learning and Materials Discovery, introduction and methods

Maxime Moreaud (Chercheur IFPEN Lyon, co-créator et
développeur du logiciel plugim)

Président de session: Maxime Moreaud

Coffee break

Deep Learning and Materials Discovery, introduction and methods

Maxime Moreaud (Chercheur IFPEN Lyon, co-créator et
développeur du logiciel plugim)

Président de session: Maxime Moreaud

Lunch

TP

Coffee break

TP

Poster session

jeudi 12 septembre

Processing experimantal data:

Président de session: Jaysen Nelayah

Coffee break

Processing experimantal data:

Président de session: Jaysen Nelayah

Lunch

TP

Coffee break

School Dinner

vendredi 13 septembre

Data optimization & development of innovative materials:

Président de session: Mikaël Perrut

Coffee break

Data optimization & development of innovative materials:

Président de session: Mikaël Perrut

Lunch