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