While the equilibrium properties, states, and phase transitions of interacting systems are well
described by statistical mechanics, the lack of suitable state parameters has hindered the …

Complexity of patterns is key information for human brain to differ objects of about the same
size and shape. Like other innate human senses, the complexity perception cannot be easily …

Entropy and free-energy estimation are key in thermodynamic characterization of simulated
systems ranging from spin models through polymers, colloids, protein structure, and drug …

Coupled nonlinear oscillators are ubiquitous in dynamical studies. A wealth of behaviors
have been found mostly for globally coupled systems. From a complexity perspective, less …

We present a new Canonical Multispin-flip Cluster Monte Carlo algorithm for Ising model
and describe efficient implementations for hybrid supercomputer. Our method takes …

A rich variety of nonequilibrium dynamical phenomena and processes unambiguously calls
for the development of general numerical techniques to probe and estimate a complex …

The design of biosequences for biosensing and therapeutics is a challenging multistep
search and optimization task. In principle, computational modeling may speed up the design …

A recently introduced model of coupled nonlinear oscillators in a ring is revisited in terms of
its information processing capabilities. The use of Lempel-Ziv based entropic measures …

We derive a functional for the entropy contributed by any microscopic degrees of freedom as
arising from their measurable pair correlations. Applicable both in and out of equilibrium, this …

While there has been a keen interest in studying computation at the edge of chaos for
dynamical systems undergoing a phase transition, this has come under question for cellular …