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Machine Learning and Materials Discovery

Europe/Paris
Institut Pascal

Institut Pascal

Rue André Rivière 91400 Orsay
Description

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 June 18th, 2024. 

The students will be officially notified about the result of their application by July 3rd, 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).

 

 

 

Registration
IPa Registration Form
Participants
  • Gianguido Baldinozzi
Anna Guerreschi (administrative assistant)
    • 8:45 AM 9:30 AM
      Registrations
    • 9:30 AM 9:50 AM
      Introduction: Introduction - IPa
    • 9:50 AM 10:00 AM
      Introduction - MLMD 10m

      General information about the school and the program

    • 10:00 AM 11:00 AM
      General introduction + TP

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

      Convener: Maxime Moreaud (IFPEN Lyon)
    • 11:00 AM 11:30 AM
      Coffee break
    • 11:30 AM 1:00 PM
      General introduction + TP

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

      Convener: Maxime Moreaud (IFPEN Lyon)
    • 1:00 PM 2:30 PM
      Lunch
    • 2:30 PM 4:00 PM
      TP
    • 4:00 PM 4:30 PM
      Coffee break 30m
    • 4:30 PM 5:30 PM
      TP
    • 9:30 AM 11:00 AM
      Learning interatomic potential + TP:
      Convener: Ralf Drautz (Bochum University)
    • 11:00 AM 11:30 AM
      Coffee break
    • 11:30 AM 1:00 PM
      Learning interatomic potential + TP:
      Convener: Ralf Drautz (Bochum University)
    • 1:00 PM 2:30 PM
      Lunch
    • 2:30 PM 4:00 PM
      TP
    • 4:00 PM 4:30 PM
      Coffee break
    • 4:30 PM 6:30 PM
      Flash presentation
    • 9:30 AM 11:00 AM
      General introduction + TP

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

      Convener: Maxime Moreaud
    • 11:00 AM 11:30 AM
      Coffee break
    • 11:30 AM 1:00 PM
      General introduction + TP

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

      Convener: Maxime Moreaud
    • 1:00 PM 2:30 PM
      Lunch
    • 2:30 PM 4:00 PM
      TP
    • 4:00 PM 4:30 PM
      Coffee break
    • 4:30 PM 5:30 PM
      TP
    • 6:00 PM 7:00 PM
      Poster session
    • 9:30 AM 11:00 AM
      Processing experimantal data:
      Convener: Jaysen Nelayah
    • 11:00 AM 11:30 AM
      Coffee break
    • 11:30 AM 1:00 PM
      Processing experimantal data:
      Convener: Jaysen Nelayah
    • 1:00 PM 2:30 PM
      Lunch
    • 2:30 PM 4:00 PM
      TP
    • 4:00 PM 4:30 PM
      Coffee break
    • 7:00 PM 9:00 PM
      School Dinner
    • 9:30 AM 11:00 AM
      Data optimization & development of innovative materials:
      Convener: Mikaël Perrut
    • 11:00 AM 11:30 AM
      Coffee break
    • 11:30 AM 1:00 PM
      Data optimization & development of innovative materials:
      Convener: Mikaël Perrut
    • 1:00 PM 2:30 PM
      Lunch