Data from Complex Phase Behavior in Binary Blends of AB Diblock Copolymer and ABC Triblock Terpolymer

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2022-04-01
2022-10-01

Date completed

2022-10-01

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Title

Data from Complex Phase Behavior in Binary Blends of AB Diblock Copolymer and ABC Triblock Terpolymer

Published Date

2023-02-08

Author Contact

Dorfman, Kevin D
dorfman@umn.edu

Type

Dataset
Simulation Data

Abstract

This data set contains the input and output files from the PSCF C++ program used for the self-consistent field theory (SCFT) simulation in "Complex Phase Behavior in Binary Blends of AB Diblock Copolymer and ABC Triblock Terpolymer." Self-consistent field theory was used to investigate the phase behavior in the binary AB/ABC block polymer blends. With this dataset, users should be able to regenerate all the calculations that appeared in the paper, using the open-source C++ SCFT program available on GitHub (https://github.com/dmorse/pscfpp).

Description

With the data provided here, users can reproduce all the results of self-consistent field theory (SCFT) calculations presented in the associated paper. The data set is split into the subdirectories 'figure#' corresponding to each figure in the main paper. Each folder contains input files and output converged solutions of the SCFT simulations for the corresponding figures in the paper. Information about the open-source C++ SCFT program is available at GitHub (https://github.com/dmorse/pscfpp) and the user manual page (https://dmorse.github.io/pscfpp-man/). For a detailed description of the data files, please read the readme file.

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Funding information

This work was supported primarily by the National Science Foundation primarily through the University of Minnesota Materials Science Research and Engineering Center under Award No. DMR-2011401.

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Suggested citation

Park, Sojung; Bates, Frank S; Dorfman, Kevin D. (2023). Data from Complex Phase Behavior in Binary Blends of AB Diblock Copolymer and ABC Triblock Terpolymer. Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/pg7h-vv34.

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