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

Read full text
Authors: Merin Joseph, Daniel J. Read, A. M. Rucklidge
Cited by: 1

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