Data for "Shape and Interaction Decoupling for Colloidal Pre-Assembly"

DOI:10.4121/19114712.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/19114712
Datacite citation style:
Baldauf, Lucia; Erin Teich; Schall, P.; Greg van Anders; Rossi, Laura (2022): Data for "Shape and Interaction Decoupling for Colloidal Pre-Assembly". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/19114712.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

Signac database of self-assembly simulation snapshots

History

  • 2022-02-17 first online, published, posted

Publisher

4TU.ResearchData

Format

The data are organized in a signac database. For more information on signac see here: https://signac.io Simulation results are stored in "pos" format that is readable with Injavis, see here: https://engellab.de/injavis Pos is a human readable plain-text format. Conversion between pos and other data formats can be done using various tools including garnett: https://github.com/glotzerlab/garnett Pre-assembled cluster arrangements are stored in numpy format. More information on numpy can be found here: https://numpy.org

Funding

  • Design of 2-dimensional soft materials (grant code 680-47-446) [more info...] Dutch Research Council
  • Studienstiftung des Deutschen Volkes
  • Natural Sciences and Engineering Research Council of Canada RGPIN-2019-05655 and DGECR-2019-00469
  • National Science Foundation Graduate Research Fellowship Grant DGE 1256260
  • Blue Waters Graduate Fellowship

Organizations

TU Delft, Faculty of Applied Sciences, Department Chemical Engineering

DATA

Files (1)