Dataset
Data Publication
Data from manuscript: Experimental and simulation data of cluster size distribution and average cluster size
Shelke, Yogesh | Marín-Aguilar, Susana | Camerin, Fabrizio | Dijkstra, Marjolein | Kraft, Daniela J.
4TU.ResearchData
(2022)
Descriptions
Datasets belonging to research on the self-assembly of colloidal molecules prepared from positively charged colloidal hematite cubes and negatively charged colloidal spheres. The data sets contain experimental and simulated data on the cluster size distribution and average cluster size of colloidal molecules. Experimental cluster size was determined by counting at least 100 clusters from microscopy images after self-assembly driven by electrostatic interactions. Simulation cluster size was determined by counting 1000 clusters from Monte Carlo simulations.
Keywords
Originally assigned keywords
Condensed Matter Physics
FOS: Physical sciences
Colloidal Clusters
Colloidal Molecules Cluster Size Distribution
Average Cluster Size
MSL enriched keywords
minerals
oxide mineral
hematite
Metadata
Resource Type
Source publisher
| 4TU.ResearchData |
DOI
| 10.4121/19773601.v1 |
Creators
| Shelke, Yogesh |
| Personal |
| Marín-Aguilar, Susana |
| Camerin, Fabrizio |
| Dijkstra, Marjolein |
| Personal |
| Kraft, Daniela J. |
Contributors
| Leiden Instituut Onderzoek Natuurkunde LION-Biological & Soft Matter, Leiden University, |
| Organizational |
| Soft Condensed Matter, Debye Institute For Nanomaterials Science, Department Of Physics, Utrecht University, |
| Organizational |
Citation
Shelke, Y., Marín-Aguilar, S., Camerin, F., Dijkstra, M., & Kraft, D. J. (2022). Data from manuscript: Experimental and simulation data of cluster size distribution and average cluster size (Version 1) [Data set]. 4TU.ResearchData. https://doi.org/10.4121/19773601.V1
Dates
| Issued | 2022-05-31 |
Language
- no language entry found -
Funding References
| Funder Name | unknown |
| Award Title | European Research Council (ERC Starting Grant number 758383, RECONFMAT) |
| Funder Name | unknown |
| Award Title | European Research Council (ERC464 Advanced Grant number ERC-2019-ADV-H2020 884902, SoftML) |
Rights
| Name | Creative Commons Zero v1.0 Universal |
| URI | https://creativecommons.org/publicdomain/zero/1.0/legalcode |
| Identifier | cc0-1.0 |
| Identifier Scheme | SPDX |
| Scheme URI | https://spdx.org/licenses/ |
Locations
- no geo-locations found -