Dataset for 'A flexible implementation of strong segregation theory for two dimensional ABC star terpolymer morphologies'
Abstract
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. For these directories, the degree of polymerization parameter is N=1000. Each directory contains subdirectories for each of the ten morphologies considered in the paper. Each subdirectory has (up to) 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. There are two further directories containing data (with the same structure) for different degrees of polymerization N=300 and N=10000 and equal values of NChi. In addition, a sample python script is given, including appropriate input files for each morphology.
Publication details
- Journal / source
- University of Leeds
- Publication date
- 8 June 2026
- Language
- EN
- Document type
- Dataset