# EPS Statistical and Nonlinear Physics Prize

The EPS Statistical and Nonlinear Physics Prize is a biannual award by the European Physical Society (EPS) given since 2017. Its aim is to recognize outstanding research contributions in the area of statistical physics, nonlinear physics, complex systems, and complex networks.

## Early Career Recipients

| Year | Name | Institution | Citation |
| 2017 | Laura Foini | ENS Paris | For her outstanding research contributions in the field of glassy systems and nonequilibrium dynamics of isolated quantum systems. |
| 2017 | Edgar Roldan | MPIPKS | For his outstanding research contributions at the interface of stochastic thermodynamics and biophysics. |
| 2019 | Karel Proesmans | Hasselt Univ. Belgium | For his outstanding research contributions in the field of stochastic thermodynamics, in particular his work dealing with optimization protocols for thermal engines, as well as his work on thermodynamic uncertainty relations for discrete-time and periodically driven systems. |
| 2019 | Valentina Ros | ENS Paris | For her outstanding research contributions in quantum and classical disordered systems, explaining new ways in which those systems can break ergodicity and fail to equilibrate, and her investigations of rough, high-dimensional landscapes emerging in this context. |
| 2021 | Federico Battiston | Central European University | For his outstanding work on nonlinear dynamics and emergent collective phenomena in multilayer and higher-order networks, including diffusion, synchronization, social and evolutionary processes. |
| 2021 | Caterina De Bacco | Max Planck Institute for Intelligent Systems, Tuebingen | For her outstanding work on statistical physics of random walkers on random graphs, stochastic search processes, routing optimization on networks and effective algorithms for community detection |

## Senior Recipients

| Year | Name | Institution | Citation |
| 2017 | Peter Grassberger | University of Calgary | For their seminal contributions to nonlinear physics, in particular for introducing the correlation dimension as a measure of the fractal dimension of strange attractors and studies of other complex phenomena. |
| 2017 | Itamar Procaccia | Weizmann Institute | For their seminal contributions to nonlinear physics, in particular for introducing the correlation dimension as a measure of the fractal dimension of strange attractors and studies of other complex phenomena. |
| 2019 | Sergio Ciliberto | CNRS and ENS Lyon | For his seminal contributions over a wide range of problems in statistical and nonlinear physics, in particular for performing groundbreaking new experiments testing Fluctuation Theorems for injected power, dissipated heat, and entropy production rates, as well as investigating experimentally the connection between dissipated heat and the Landauer bound, thus demonstrating a link between information theory and thermodynamics. |
| 2019 | Satya Majumdar | CNRS University Paris-Sud | For his seminal contributions to non-equilibrium statistical physics, stochastic processes, and random matrix theory, in particular for his groundbreaking research on Abelian sandpiles, persistence statistics, force fluctuations in bead packs, large deviations of eigenvalues of random matrices, and applying the results to cold atoms and other physical systems. |
| 2021 | Albert-László Barabási | Northeastern University Harvard Medical School and Central European University | For his pioneering contributions to the development of complex network science, in particular for his seminal work on scale-free networks, the preferential attachment model, error and attack tolerance in complex networks, controllability of complex networks, the physics of social ties, communities, and human mobility patterns, genetic, metabolic, and biochemical networks, as well as applications in network biology and network medicine.. |
| 2021 | Angelo Vulpiani | Università Sapienza Roma | For his seminal contributions to statistical and nonlinear physics, touching fundamentally important issues in dynamical systems theory and statistical mechanics, including the mechanism of stochastic resonance, multifractality of invariant sets of dynamical systems, the dynamics and multifractal properties of turbulent flows, chaos in Hamiltonian systems, and the limits of predictability in complex systems. |