The Physics Department presents An information theoretic approach to quantify complexity of nanoscale systems by Dr. Ilya Grigorenko

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Abstract: In this study the entropy density and mutual information measures were used to identify the optimal interaction parameters between nanoparticles, which lead to the maximum geometric complexity of self-assembled nanostructures. A generalization of complexity measures at a finite temperature and for nonequilibrium systems is also presented. The developed theory can be used for efficient in