Hybrid Dynamic Density Functional Theory for Polymer Melts and Blends
Takashi Honda, Toshihiro Kawakatsu

TL;DR
This paper introduces a hybrid dynamic density functional theory combining SCF and GRPA methods to efficiently simulate phase separation in polymer melts and blends, achieving high accuracy and computational speed.
Contribution
The paper develops a novel hybrid theory that integrates SCF and GRPA approaches, balancing accuracy and computational efficiency for polymer phase separation simulations.
Findings
Successfully reproduces complex phase-separated structures of ABC triblock copolymers.
Achieves high-speed simulations with accuracy comparable to SCF theory.
Demonstrates applicability to various polymer systems.
Abstract
We propose a high-speed and accurate hybrid dynamic density functional theory for the computer simulations of the phase separation processes of polymer melts and blends. The proposed theory is a combination of the dynamic self-consistent field (SCF) theory and a time-dependent Ginzburg-Landau type theory with the random phase approximation (GRPA). The SCF theory is known to be accurate in evaluating the free energy of the polymer systems in both weak and strong segregation regions although it has a disadvantage of the requirement of a considerable amount of computational cost. On the other hand, the GRPA theory has an advantage of much smaller amount of required computational cost than the SCF theory while its applicability is limited to the weak segregation region. To make the accuracy of the SCF theory and the high-performance of the GRPA theory compatible, we adjust the chemical…
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