(670h) Field-Theoretic Modeling of Neutral Solvent Effects on Diblock Copolymer Self-Assembly
AIChE Annual Meeting
2022
2022 Annual Meeting
Materials Engineering and Sciences Division
Polymer Thermodynamics and Self-Assembly: Polymer-Molecular Interactions
Thursday, November 17, 2022 - 5:30pm to 5:45pm
To understand the role of these environmental conditions, it is important to establish how varying degrees of solvent selectivity affect the phase behavior of diblock copolymers. This study can be done efficiently using computational methods. In this work, we develop a field-theoretic Monte Carlo simulation of semiflexible polymers, incorporating chemical incompatibility between monomers. This simulation generates equilibrium structures of copolymer solutions at a range of interaction parameters, and we have extended the simulation to be able to study solvents of varying selectivity. We also develop software packages capable of structure factor and heat capacity analyses, to identify phases and phase transitions. Recent efforts focus on diblock copolymer solutions in neutral solvent. We have found order-disorder and order-order transitions for diblock copolymers of a range of block sizes. This work elucidates the conditions for the self-assembly of a variety of microphases, including lamellar, perforated lamellar, and cylindrical phases.
These simulation results can be compared to predictions from self-consistent field theory. Previous work has studied the phase behavior of copolymer solutions with free-energy expressions expanded to quadratic order in concentration fluctuations. From this analysis, order-disorder and order-order phase transitions are predicted. However, we find significant deviations from these quadratic-order theoretical predictions and simulation results. This inconsistency is due to higher-order fluctuation effects. We correct for this by expanding the phase free-energy expressions to quartic order in concentration fluctuations. We develop a code base to find higher order vertex functions which contribute to the free energy, then leverage these theoretical predictions to aid in our comparison between simulation and theory. Finding agreement between these two domains instills greater confidence in our predictions of polymer phase behavior and will enable us to predict membrane architecture and properties more accurately.