Sorption Characteristics for Polymer Brushes in Equilibrium with Solvent Vapors
Datacite citation style:
Veldscholte, Lars; Guido Ritsema van Eck; Sissi de Beer; Jan Willem Nijkamp (2020): Sorption Characteristics for Polymer Brushes in Equilibrium with Solvent Vapors. Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/uuid:f31d3b2b-1a75-43fb-a85e-c4c7e730c329
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
choose version:
version 2 - 2020-10-13 (latest)
version 1 - 2020-09-28
Vapour sorption is investigated using coarse-grained molecular dynamics (MD) simulations of a polymer brush system, alternated with grand-canonical Monte Carlo (GCMC) sweeps to maintain a constant solvent vapour pressure in a region above the brush. The polymer self-affinity and of the polymer-solvent affinity are both varied with the goal of identifying sorption behaviour regimes of the vapour-solvated polymer brush system in the two-dimensional parameter space. Additionally, the solvent pressure is also varied.
This dataset contains the output of the MD simulations (density profiles and data files).
history
- 2020-09-28 first online
- 2020-10-13 published, posted
publisher
4TU.ResearchData
format
Tar.gz archive containing data files in plain text and pdf, svg and Python pickle files.
associated peer-reviewed publication
Sorption Characteristics of Polymer Brushes in Equilibrium with Solvent Vapors
organizations
University of Twente, Material Science and Technology of Polymers group
DATA
files (2)
- 2,610 bytesMD5:
920583ac1006dd9ade16119cf17326a2
README.md - 4,341,068,239 bytesMD5:
fa010a1dd40451aaf2a63bb705c46f77
Dataset.tar.gz -
download all files (zip)
4,341,070,849 bytes unzipped