2024 AIChE Annual Meeting
(693b) Modeling Bottlebrush Polymers for Self-Assembly and Printing
Authors
In this talk, I will focus on blocky bottlebrush polymers, which can be used to create materials that self-assemble into photonic crystals at >100-nm length scales, and thus exhibit vibrant ‘structural color’. We have been developing models that can predict this behavior at the molecular level, overcoming the challenge of addressing both the side-chain and self-assembly length scales. Building from simulations capable of predicting the equilibrium structure of individual bottlebrush molecules, we implement a coarse-graining scheme capable of capturing concentrations spanning both solution and melt behaviors, and reveals how the interactions between densely-grafted branches gives rise to conformational features seen in experiment. Combined with theoretical scaling arguments, this also allows us to predict the solution self-assembly of block bottlebrush copolymers and establishes molecular insight into how out-of-equilibrium processing affects structural color during printing, and can also be used to predict the behaviors of ‘shape-defined’ polymers. Overall, I will show how our computational and theoretical efforts inform materials design principles for the properties and processing of bottlebrush polymers.