Group “Statistical Physics and Condensed Matter”
The activities of the “Statistical Physics and Complex Systems” team cover a wide spectrum. The first research direction concerns rigorous statistical mechanics, in particular the study of phase transitions in exactly solvable cases and/or from a geometric perspective. The second 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 third direction focuses 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 pioneering in the study of temporal networks. 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. Since 2019 it has hosted three 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 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 | +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 |
| NATH | Sujit-Kumar | Post Ph.D. | Contact | |
| PEREZ | Pablo | Ph.D. | Contact | |
| PILLET | Claude-Alain | Research teacher | +33.4.91.26.95.32 | Contact |
| PLOTZE | Yan | Ph.D. | Contact | |
| QAZI | Saaheelur-Rahaman | Ph.D. | Contact | |
| ROUAULT | Herve | Researcher | +33.4.91.26.95.13 | Contact |
| ROULEUX | Michel | Research teacher | +33.4.91.26.97.97 | Contact |
| RUPPRECHT | Jean-Francois | Researcher | +33.4.91.26.95.14 | Contact |
| SABY | Florian | Ph.D. | Contact | |
| SHLOSMAN | Senya | Researcher emeritus | +33.4.91.26.95.31 | 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 |
Preserving friendships in school contacts: An algorithm to construct synthetic temporal networks for epidemic modelling
PLoS Computational Biology, 2024, 20 (12), pp.e1012661. (10.1371/journal.pcbi.1012661)
Modeling the interplay between disease spread, behaviors, and disease perception with a data-driven approach
Mathematical Biosciences, 2024, 378, pp.109337. (10.1016/j.mbs.2024.109337)
Two-Time Measurement of Entropy Transfer in Markovian Quantum Dynamics
Letters in Mathematical Physics, 2024, 114 (6), pp.137. (10.1007/s11005-024-01880-2)
An embedding-based distance for temporal graphs
Nature Communications, 2024, 15 (1), pp.9954. (10.1038/s41467-024-54280-4)
Flow of temporal network properties under local aggregation and time shuffling: a tool for characterizing, comparing and classifying temporal networks
Journal of Physics A: Mathematical and Theoretical, 2024, 57 (43), pp.435002. (10.1088/1751-8121/ad7b8e)
Survival probability and position distribution of a run and tumble particle in U ( x ) = α | x | potential with an absorbing boundary
Journal of Statistical Mechanics: Theory and Experiment, 2024, 2024 (9), pp.093205. (10.1088/1742-5468/ad6c2c)
The temporal dynamics of group interactions in higher-order social networks
Nature Communications, 2024, 15 (1), pp.7391. (10.1038/s41467-024-50918-5)
Preserving system activity while controlling epidemic spreading in adaptive temporal networks
Physical Review Research, 2024, 6 (3), pp.033159. (10.1103/PhysRevResearch.6.033159)
The structural evolution of temporal hypergraphs through the lens of hyper-cores
EPJ Data Science, 2024, 13 (1), pp.50. (10.1140/epjds/s13688-024-00490-1)
Infection patterns in simple and complex contagion processes on networks
PLoS Computational Biology, 2024, 20 (6), pp.e1012206. (10.1371/journal.pcbi.1012206)