Extreme value statistics (EVS) concerns the study of the statistics of the maximum or the
minimum of a set of random variables. This is an important problem for any time-series and …

There is a large variety of quantum and classical systems in which the quenched disorder
plays a dominant rôle over quantum, thermal, or stochastic fluctuations: these systems …

Concepts, methods and techniques of statistical physics in the study of correlated, as well as
uncorrelated, phenomena are being applied ever increasingly in the natural sciences …

We solve exactly and describe in detail a simplified scalar model for the low frequency shear
rheology of foams, emulsions, slurries, etc.[P. Sollich, F. Lequeux, P. Hébraud, and ME …

With over half of the world's population now living in urban areas, the ability to model and
understand the structure and dynamics of cities is becoming increasingly valuable …

We introduce a simple model of economy, where the time evolution is described by an
equation capturing both exchange between individuals and random speculative trading, in …

Random Matrix Theory (RMT) is applied to analyze the weight matrices of Deep Neural
Networks (DNNs), including both production quality, pre-trained models such as AlexNet …

We reformulate the interpretation of the mean-field glass transition scenario for finite
dimensional systems, proposed by Kirkpatrick, Thirumalai, and Wolynes (KTW)[Phys. Rev. A …

Pristine monocrystalline graphene is claimed to be the strongest material known with
remarkable mechanical and electrical properties. However, graphene made with scalable …

Recent generalizations of the Hopfield model of associative memories are able to store a
number P of random patterns that grows exponentially with the number N of neurons, P= exp …