A Flexible Implementation of Strong Segregation Theory for Two-Dimensional ABC Star Terpolymer Morphologies

Area of Science:

• Polymer Physics
• Computational Chemistry
• Materials Science

Background:

• Understanding phase separation in complex polymer architectures like ABC star terpolymers is crucial for designing new materials.
• Existing computational methods may not efficiently handle the intricate morphologies and phase behavior of these systems.

Purpose of the Study:

• To introduce a novel computational implementation of strong segregation theory tailored for ABC star terpolymers.
• To enable the calculation of free energies for 2D morphologies and facilitate phase diagram construction.
• To provide a flexible framework for exploring diverse polymer structures and compositions.

Main Methods:

• Utilized strong segregation theory (SST) for computational modeling.
• Developed a method based on 'Strongly Segregated Polygons' as a flexible base motif.
• Focused on calculating free energies of common two-dimensional (2D) morphologies.
• Modeled branch points as localized core regions (cylinders in 3D).

Main Results:

• Successfully implemented a computational framework for phase-separated ABC star terpolymers.
• Enabled efficient calculation of free energies for 2D polymer morphologies.
• Facilitated the construction of phase diagrams for varying polymer compositions and interaction strengths.
• Demonstrated applicability to morphologies with single and multiple core types.

Conclusions:

• The novel computational method provides an efficient tool for studying complex polymer morphologies.
• The framework allows exploration of a wide range of structures, compositions, and interaction strengths.
• The method can be extended to 3D systems, other molecular architectures, and quasiperiodic structures.