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Team : Statistical Physics
Presentation
The approach of our « Statistical Physics » group aims at using theoretical and numerical methods in order to understand and model te structure and dynamics of a large range of complex systems, and in particular non-crystalline materials. We use a number of numerical techniques (ab-initio simulation, classical molecular dynamics, Monte Carlo simulations) and theoretical approaches (statistical mechanics, hydrodynamics), and we are interested in a wide range of systems (undercooled liquids, glasses, gels, polymers, vesicles, anaostructures, biological systems), both in thermodynamic equilibrium (phase diagrams, structure and dynamic) and far from equilibrium (ageing, rheology, flow).
Current members
BERNARD Adam (Doctorant)
BERTHIER Ludovic (Chercheur)
ISPAS Simona (Enseignant Chercheur)
KERN Norbert (Enseignant Chercheur)
KLAMSER Juliane (Chercheur)
KOB Walter (Enseignant Chercheur)
PITARD Estelle (Chercheur)
SHIRAISHI Kumpei (Post-Doc)
SIMON Romain (Doctorant)
SOHIER Thibault (Chercheur)
All productions
Latest publications
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Dynamic heterogeneity at the experimental glass transition predicted by transferable machine learning  Author(s): Jung G., Biroli Giulio, Berthier L.
(Article) Published:
Physical Review B, vol. 109 p.064205 (2024)
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Elaboration of a neural-network interatomic potential for silica glass and melt Author(s): Trillot Salomé, Lam Julien, Ispas S., Kandy Akshay Krishna Ammothum, Tuckerman Mark, Tarrat Nathalie, Benoit Magali
(Article) Published:
Computational Materials Science, vol. 236 p.112848 (2024)
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Collective Relaxation Dynamics in a Three-Dimensional Lattice Glass Model Author(s): Nishikawa Y., Berthier L.
(Article) Published:
Physical Review Letters, vol. 132 p.067101 (2024)
Links openAccess full text : |
