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 |
Dessine-moi une particule. De quoi la physique quantique est-elle la science ?
Cité des convergences, Sep 2016, Toulon, France
On a quantum phase transition in a steady state out of equilibrium
Journal of Physics A: Mathematical and Theoretical, 2016, 49 (41), pp.415201. (10.1088/1751-8113/49/41/415201)
Optimizing experimental parameters for tracking of diffusing particles
Physical Review E , 2016, 94 (2), pp.022401. (10.1103/PhysRevE.94.022401)
Contact diaries versus wearable proximity sensors in measuring contact patterns at a conference: method comparison and participants’ attitudes
BMC Infectious Diseases, 2016, 16, pp.341. (10.1186/s12879-016-1676-y)
Impact of spatially constrained sampling of temporal contact networks on the evaluation of the epidemic risk
European Journal of Applied Mathematics, 2016, 27 (6), pp.941-957. (10.1017/S0956792516000309)
How to Estimate Epidemic Risk from Incomplete Contact Diaries Data?
PLoS Computational Biology, 2016, 12 (6), pp.e1005002. (10.1371/journal.pcbi.1005002)
Quantifying social contacts in a household setting of rural Kenya using wearable proximity sensors
EPJ Data Science, 2016, 5, pp.21. (10.1140/epjds/s13688-016-0084-2)
Entropic fluctuations in Gaussian dynamical systems
Reports on Mathematical Physics, 2016, 77 (3), pp.335-376. (10.1016/S0034-4877(16)30034-9)
Évaluer le risque épidémique à partir de données lacunaires
Médecine/Sciences, 2016, 32 (5), pp.506. (10.1051/medsci/20163205019)
Queuing Networks with Varying Topology -- A Mean-Field Approach
2016
