2017 Annual Meeting
(409d) Engineering the Phase Behavior of Anisotropic Particles By Inverse Design
Authors
Chrisy Xiyu Du - Presenter, University of Michigan
Greg van Anders, Queen's University
Paul Dodd, University of Michigan
Julia Dshemuchadse, University of Michigan
Sharon C. Glotzer, University of Michigan
Anisotropic particles demonstrate a rich set of phase transitions through variation in temperature, pressure, solvent quality, and particle properties. Recent developments in anisotropic particle synthesis have shown promise for using these particles as building blocks for reconfigurable materials. However, due to the large design space, it can be challenging to find appropriate building blocks for targeted behaviors. Here, instead of mapping out the phase behavior for different types of particles, we use the inverse method of Digital Alchemy to find optimal particle shapes for targeted phase behaviors. We present a theoretical design framework along with computer simulation results that give candidate particles for reconfigurable colloidal materials.