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.[7] |
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.[8] |
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.[9] |
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..[10] |
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.[11] |