Complex systems are characterized by many interacting units that give rise to emergent
behavior. A particularly advantageous way to study these systems is through the analysis of …

What do societies, the Internet, and the human brain have in common? They are all
examples of complex relational systems, whose emerging behaviours are largely …

Many real-world complex systems consist of a set of elementary units connected by
relationships of different kinds. All such systems are better described in terms of multiplex …

This paper describes a new approach for ascertaining the stability of stochastic dynamical
systems in their parameter space by examining their time series using topological data …

A reservoir computing based echo state network (ESN) is used here for the purpose of
predicting the spread of a disease. The current infection trends of a disease in some …

Using non-equilibrium molecular dynamics, we show that asymmetrically defected graphene
nanoribbons (GNR) are promising thermal rectifiers. The optimum conditions for thermal …

One of the major issues in theoretical modeling of epidemic spreading is the development of
methods to control the transmission of an infectious agent. Human behavior plays a …

The spatiotemporal propagation patterns of recent infectious diseases, originated as
localized epidemic outbreaks and eventually becoming global pandemics, are highly …

Recently, a number of classification techniques have been introduced. However, processing
large dataset in a reasonable time has become a major challenge. This made classification …

The frontal polymerization is a technique that creates a self‐sustaining “cure front” that
propagates through the thermoset resin material. Such a technique is potentially capable of …