The doi 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

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

Dataset

• Physical Chemistry (incl. Structural)
• Materials Engineering
• Other Physical Sciences

colloids, Hierarchical Assembly, Pre-assembly, self-assembly

CC BY-NC-SA 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Lucia Baldauf, Erin Teich, P. Schall, Greg van Anders, Laura Rossi

Signac database of self-assembly simulation snapshots

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

4TU.ResearchData

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

• https://arxiv.org/abs/1909.10361v2

• 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

TU Delft, Faculty of Applied Sciences, Department Chemical Engineering