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Dataset for 'A flexible implementation of strong segregation theory for two dimensional ABC star terpolymer morphologies'

Citation

Merin, Joseph and Read, Daniel J. and Rucklidge, Alastair (2025) Dataset for 'A flexible implementation of strong segregation theory for two dimensional ABC star terpolymer morphologies'. University of Leeds. [Dataset] https://doi.org/10.5518/1755

Dataset description

The dataset contains the data for generating the figures in the paper. There are three main parameters: NChiAB, NChiBC and NchiAC, whose values are given in the paper and specified in the names of the directories. Each directory contains subdirectories for each of the ten morphologies considered in the paper. Each subdirectory has six files giving the free energy as a function of phi_A, phi_B and phi_C, one file for each of the six ways of distributing the three polymer types. In addition, a sample python script is given, including appropriate input files for each morphology.

Keywords: polymer phase separation, ABC terpolymers, Strong Segregation Theory
Subjects: G000 - Mathematical sciences > G100 - Mathematics > G120 - Applied mathematics
Divisions: Faculty of Engineering and Physical Sciences > School of Mathematics
License: Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited: 15 Oct 2025 09:50
URI: https://archive.researchdata.leeds.ac.uk/id/eprint/1466

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