2020
DOI: 10.1039/d0sm00620c
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Single chain in mean field simulation of flexible and semiflexible polymers: comparison with discrete chain self-consistent field theory

Abstract: Through quantitative free energy analysis, we demonstrate that discrete chain self-consistent field theory (DCSCFT) can serve as an intermediate tool positioned between single chain in mean field simulation and SCFT.

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Cited by 8 publications
(5 citation statements)
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“…The stabilization of this PL-VL morphology is a nontrivial task. Even though the special architecture of the star-shaped BCP is known to promote the VL phase adjacent to the neutral interface, , the SCFT method adopting the Gaussian chain model cannot capture this feature without utilizing specialized tools beyond the standard model. , …”
Section: Results and Discussionmentioning
confidence: 99%
“…The stabilization of this PL-VL morphology is a nontrivial task. Even though the special architecture of the star-shaped BCP is known to promote the VL phase adjacent to the neutral interface, , the SCFT method adopting the Gaussian chain model cannot capture this feature without utilizing specialized tools beyond the standard model. , …”
Section: Results and Discussionmentioning
confidence: 99%
“…The depletion thickness depends on the polymer segment density profile near the colloidal particles. These polymer segment density profiles may be calculated for instance using computer simulations, 10,11 numerical computations [12][13][14] or analytical approximations. [15][16][17] Eisenriegler 15 showed that for ideal polymers the depletion thickness is close to the polymer radius of gyration R g :…”
Section: Introductionmentioning
confidence: 99%
“…There are a variety of techniques that operate with a finite number of segments, with Single-Chain-in-Mean-Field (SCMF) simulations and discrete chain self-consistent field theory (DCSCFT) as notable examples. 44…”
Section: Discussionmentioning
confidence: 99%
“…There are a variety of techniques that operate with a finite number of segments, with Single-Chain-in-Mean-Field (SCMF) simulations and discrete chain self-consistent field theory (DCSCFT) as notable examples. 44 As mentioned, this paper is devoted to Monte Carlo sampling: our concern is the process of generating configurations upon the assumption that the number density predicted by SCFT is valid. An in-depth investigation of the strategies presented in this discussion is not included in this work, but we believe these considerations to be important enough to warrant explicit mention.…”
Section: Molecular Chains and The Gaussian Chain Modelmentioning
confidence: 99%