Modeling stimuli-sensitive polymer networks using dissipative particle dynamics

Alexander Alexeev
Georgia Tech
Thursday, October 22, 2015
NCSU Golden LEAF Biomanufacturing Training and Education Center (BTEC) Room 135 | 4:30pm

Using dissipative particle dynamics, we examine transport properties, swelling kinetics, and applications of stimuli-sensitive polymer networks. Such networks are common in various biological and synthetic systems. Our mesoscale computational model employs a bond-bending bead-spring approach to capture the micromechanics of random polymer networks. First we demonstrate that our model can properly describe transport properties of random networks and examine how the transport changes when a network undergoes mechanical deformation. We then employ our model to study the kinetics of responsive microgels during swelling volume transition and probe how hollow microgel capsules can be harnessed in controlled release applications. Finally, we probe how a bi-layered microgel sheet composed to two layers with dissimilar stimuli sensitivity can be used to design a microscopic self-propelling swimmer.