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

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Persistent link to this item

https://doi.org/10.13020/4zqd-0c22
https://hdl.handle.net/11299/253314

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Keywords

Self-Consistent Field Theory

Block Copolymer Self Assembly

Alternating Gyroid

Network Phases

Block Polymer Blends

Collection period

2022-05-01
2022-12-01

Date completed

2023-12-08

Date updated

Time period coverage

Geographic coverage

Source information

Journal Title

Journal ISSN

Volume Title

Title

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

Published Date

2023-03-22

Authors

Chen, Pengyu

Bates, Frank S

Dorfman, Kevin D

Group

Dorfman Research Group - University of Minnesota Department of Chemical Engineering and Materials Science

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

Related to

Replaces

License

CC0 1.0 Universal
http://creativecommons.org/publicdomain/zero/1.0/

Publisher

Collections

Data Repository for U of M (DRUM)
Dorfman Group Research Data
MRSEC Research Data

Funding information

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

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Previously Published Citation

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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