Our papers are the official record of our discoveries. They allow others to build on and apply our work. Each paper is the result of many months of research, so we make a special effort to make them clear, beautiful and inspirational, and publish them in leading journals.
Statistical physics harnesses links between maximum entropy and information theory to capture null model and real-world network features.
Network users who have access to the network’s most informative node, as quantified by a novel index, the InfoRank, have a competitive edge.
One-shot analogs of fluctuation-theorem results help unify these two approaches for small-scale, nonequilibrium statistical physics.
A new equality which depends on the maximum entropy describes the worst-case amount of work done by finite-dimensional quantum systems.
In quantum tunnelling, a particle tunnels through a barrier that it classically could not surmount.
A new tool derived from information theory quantitatively identifies trees, hierarchies and community structures within complex networks.
Single-shot information theory inspires a new formulation of statistical mechanics which measures the optimal guaranteed work of a system.
Information theory fixes weighted networks’ degeneracy issues with a generalisation of binary graphs and an optimal scale of link intensities.