Renormalized one-loop theory of correlations in polymer blends
Jian Qin, David C. Morse

TL;DR
This paper develops a renormalized one-loop theory to improve predictions of correlations and fluctuations in polymer blends, accounting for finite chain effects and comparing results with simulations.
Contribution
It introduces a renormalized one-loop correction to the RPA and SCFT, providing new insights into chain statistics and composition fluctuations in polymer blends.
Findings
Deviation of the apparent interaction parameter scales as N^{-1/2}
Predicted shift in critical temperature scales as N^{-1/2}
Chain dimensions slightly deviate from ideal random walk behavior
Abstract
The renormalized one-loop theory is a coarse-grained theory of corrections to the self-consistent field theory (SCFT) of polymer liquids, and to the random phase approximation (RPA) theory of composition fluctuations. We present predictions of corrections to the RPA for the structure function and to the random walk model of single-chain statics in binary homopolymer blends. We consider an apparent interaction parameter that is defined by applying the RPA to the small limit of . The predicted deviation of from its long chain limit is proportional to , where is chain length. This deviation is positive (i.e., destabilizing) for weakly non-ideal mixtures, with , but negative (stabilizing) near the critical point. The positive correction to for low values of is a result of the fact that monomers…
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