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


March 11, 2016
12:00 pm - 1:30 pm
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Physics Department

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 silico design of new self-assembled nanostructures with a complex geometry not achievable before.



Faculty and students are welcome, Light refreshments will be served.


[icon name=”calendar” class=”” unprefixed_class=””] Date: Thursday, March 24, 2016

[icon name=”clock-o” class=”” unprefixed_class=””] Time: 12:00pm – 1:30pm

[icon name=”map-marker” class=”” unprefixed_class=””] Location: N823

Conducted by: Dr. Ilya Grigorenko


Nucleus Volume 9 WInter 2018