Data for Alternating Gyroid Stabilized by Surfactant-like Triblock Terpolymers in IS/SO/ISO Ternary Blends

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Collection period

2022-05-01
2022-12-01

Date completed

2023-12-08

Date updated

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Title

Data for Alternating Gyroid Stabilized by Surfactant-like Triblock Terpolymers in IS/SO/ISO Ternary Blends

Published Date

2023-03-22

Author Contact

Dorfman, Kevin, D
dorfman@umn.edu

Type

Dataset

Abstract

This dataset contains the self-consistent field theory (SCFT) simulation results in the associated paper (https://doi.org/10.1021/acs.macromol.2c02485)

Description

SCFT was used to investigate the phase behaviors of ternary mixtures of poly(isoprene-b-styrene) (IS), poly(styrene-b-ethylene oxide) (SO), and poly(isoprene-b-styrene-b-ethylene oxide) (ISO). Both canonical and grand canonical ensemble SCFT were applied. With this dataset, users should be able to regenerate the calculations and figures that appeared in the paper using the open-source C++ PSCF software.

Referenced by

https://doi.org/10.1021/acs.macromol.2c02485

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Funding information

National Science Foundation, Grant/Award Numbers: DMR-2011401

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Suggested citation

Chen, Pengyu; Bates, Frank S; Dorfman, Kevin D. (2023). Data for Alternating Gyroid Stabilized by Surfactant-like Triblock Terpolymers in IS/SO/ISO Ternary Blends. Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/4zqd-0c22.

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