Modern powerful computers open a whole new era for the application of the Monte Carlo method for the simulation of physical systems of higher complexity. The Monte Carlo simulations are important computational techniques in many areas of natural sciences and have significant application in particle and nuclear physics, quantum physics, statistical physics, quantum chemistry, material science, among many other multidisciplinary applications. In the heart of the Monte Carlo simulations are Pseudo Random Number Generators (RNG). The primary objective of the proposed network is a systematic development and implementation of the state of the art new generation of Pseudo Random Number Generators based on Kolmogorov-Anosov K-systems, which demonstrate excellent statistical properties, into a multidisciplinary usable product. Senior researcher George Savvidy explains how this rather theoretical problem also finds many applications in everyday life. Interviewed by Yannis Rizopoulos for Tech Talks Central.

TTC @ ERN2017

TTC #338 The Many Useful Applications of Monte Carlo Simulations

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