This topical meeting of the GDR MEETICC focuses on two emerging issues which start to impact the field of quantum materials.
The first theme concerns artificial intelligence (AI).On the one hand, AI is expected to largely impact the field of quantum materials, both for the search for new materials and also for the prediction of physical properties.On the other hand, the properties of quantum materials are today considered to create devices implementing the two basic building blocks of material neural networks (synapses and artificial neurons).The long-term hope is to create an AI that is both efficient and energy efficient, unlike current AI based on software neural networks.
The second growing theme addressed will be ultrafast science and its impact on the study of quantum materials.The use of ultra-short laser pulses is on the one hand a new tool for probing quantum materials at the relevant time scales on certain of their degrees of freedom (fs for electronic excitations, ps for structural modifications).Even more interesting, it is today possible to modify the state of quantum materials to induce electronic and structural modifications that can drive a spectacular change in their physical properties inaccessible to thermodynamic equilibrium.This can even lead to ultra-rapid switching of the macroscopic state of the material and therefore its function.
The presentations, abstracts and posters will be in English.In addition to invited oral presentations, slots will be reserved for contributions sent. To maximize exchanges, we also encourage you to submit contributions aimed at presenting a poster.
The meeting will be held on December 5-6, 2023, at the Institut des Matériaux de Nantes Jean Rouxel
Invited speakers
Quantum materials and AI
IA for quantum materials: towards the prediction of properties and the design of new materials
Marie-Bernadette LEPETIT (Institut Néel / ILL). IA pour les matériaux quantiques. Ex: Apport de l'IA pour la prédiction de propriétés magnétiques
Romain Gautier (IMN, Nantes Univ.). Machine Learning Guided Synthesis of Materials with Specific Structures and Properties
Quantum materials for AI: towards hardware neural networks based on quantum materials
Pascale DIENER (ISEN/IEMN). Dynamics of the electric field-induced Mott transition
Damien Querlioz (C2N, Univ. Paris-Saclay). The Multifaceted Impact of Memristors on Neuromorphic Systems
Quantum materials and ultrafast science
Yann Gallais (MPQ, CNRS- Univ. Paris Cité). Time resolved Raman scattering in quantum materials
Florian Banhart (IPCMS, Univ. Strasbourg). Ultrafast Electron Microscopy
Luca Perfetti (Ecole Polytechnique). Ultrafast evolution of electronic states in a photoexcited Peierls-Mott insulator
Hervé Cailleau (IPR Rennes). Ultrafast structural dynamics and control of phase transitions
Camille Aron (ENS, EPFL). Correlated insulator collapse due to quantum avalanche via in-gap ladder states
Registration is free but mandatory before November 20, 2023
Deadlines for submitting an abstract: - for an oral presentation: November 13th - for a poster: November 20th -------------------------------------------
Template files for abstracts
Please use one of the following two templates for abstracts: Word / LaTex (for LaTeX users, please submit your summary in pdf format). Please write your abstract in English. -------------------------------------------
Accomodation
Registration is free, but participants must take care of and book their own accommodation in Nantes.
Recommended hotels: - Hôtel DUQUESNE. On Tram line 2, “Place du Cirque” stop, 5 stations from the IMN) - Ducs de Bretagne hotel residence.Aparthotel located near the train station -------------------------------------------
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