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.[1][2]

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.
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.[3]
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.[4]

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.[5]
Itamar Procaccia Weizmann Institute
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.[6]
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.[7]
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See also

References

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