Group “Statistical Physics and Condensed Matter”
The activities of the “Statistical Physics and Complex Systems” team cover a wide spectrum
of research topics.
One direction concerns the statistical physics of open quantum systems (out of equilibrium), and the development of models and analytical tools to study non-equilibrium steady states.
The team moreover focuses strongly on the statistical physics of complex systems and complex networks, from the study of their structure to the study of dynamical processes on networks, and is a pioneer in the study of temporal networks and hypergraphs.
Since the network paradigm can be used to describe many systems of different origins and natures, our research is interdisciplinary, including interactions with the social sciences, epidemiology, computer science, and neuroscience.
The team also participates in the Convergence Institute CENTURI and has developed a very dynamic activity towards life sciences. It hosts PIs partially funded by CENTURI, whose research topics concern collective effects and self-organization in living systems, cell mechanics, and neuroscience. They interact with experimental groups in particular at IBDM and INMED.
The methods used by the team members range from rigorous mathematical tools to numerical simulations and the analysis of empirical data, covering the full range of standard approximation tools in statistical physics.
| AGOSTINELLI | Cosimo | Ph.D. | Contact | |
| ASCH | Joachim | Research teacher | +33.4.91.26.95.20 | Contact |
| ASCHBACHER | Walter | Research teacher | +33.4.91.26.95.16 | Contact |
| BARRAT | Alain | Researcher Director | +33.4.91.26.95.40 | Contact |
| BREIER | Patrick | Visitor | Contact | |
| ESTAVOYER | Maxime | Post Ph.D. | Contact | |
| GAMBAUDO | Juliette | Ph.D. | Contact | |
| GANDOLFO | Daniel | Research teacher emeritus | +33.4.91.26.95.10 | Contact |
| GENOIS | Mathieu | Research teacher Team leader « Statistical Physics and Complex Systems » | +33.4.91.26.95.42 | Contact |
| IANNELLO | Ludovico | Ph.D. | Contact | |
| MANCASTROPPA | Marco | Post Ph.D. | Contact | |
| MAURIAL | Gabriel | Ph.D. | Contact | |
| MERKEL | Matthias | Researcher | +33.4.91.26.95.12 | Contact |
| PILLET | Claude-Alain | Research teacher | +33.4.91.26.95.32 | Contact |
| ROUAULT | Herve | Researcher | +33.4.91.26.95.13 | Contact |
| ROULEUX | Michel | Research teacher emeritus | +33.4.91.26.97.97 | Contact |
| RUPPRECHT | Jean-Francois | Researcher | +33.4.91.26.95.14 | Contact |
| VIEIRA-MENDES | Toni | Post Ph.D. | Contact | |
| VINZE | Prathmesh | Post Ph.D. | Contact | |
| WANG | Michael | Post Ph.D. | Contact | |
| ZETT | Lukas | Ph.D. | Contact |
Death and rebirth of neural activity in sparse inhibitory networks
New Journal of Physics, 2017, 19 (5), pp.053011. (10.1088/1367-2630/aa69ff)
Full statistics of erasure processes: Isothermal adiabatic theory and a statistical Landauer principle
Revue roumaine de mathématiques pures et appliquées, 2017, 62 (1), pp.P.259-286
Boundary Conditions for Translation- Invariant Gibbs Measures of the Potts Model on Cayley Trees
Journal of Statistical Physics, 2017, 167 (5), pp.1164. (10.1007/s10955-017-1771-5)
Mean field analysis of large-scale interacting populations of stochastic conductance-based spiking neurons using the Klimontovich method
Journal of Statistical Physics, 2017, 166 (5), pp.1310 - 1333. (10.1007/s10955-016-1702-x)
Crystals in the Void
Journal of Statistical Physics, 2017, 169 (3), pp.472-479. (10.1007/s10955-017-1878-8)
Exact firing time statistics of neurons driven by discrete inhibitory noise
Scientific Reports, 2017, 7 (1), pp.1577. (10.1038/s41598-017-01658-8)
Poisson Hypothesis for Open Networks at Low Load
Moscow Mathematical Journal, 2017, 17 (1), pp.145-160
Entropic fluctuations in thermally driven harmonic networks
Journal of Statistical Physics, 2016, 166 (3-4), pp. 926-1015 (10.1007/s10955-016-1625-6)
Queueing networks with mobile servers: The mean-field approach
Problems of Information Transmission, 2016, 52 (2), pp.178 - 199. (10.1134/S0032946016020071)
Contacts between individuals: analysis and application to the study of infectious diseases propagation
Statistical Mechanics [cond-mat.stat-mech]. Aix Marseille University, 2016. English. (NNT : )
