Data and code related to the manuscript "Morphological analysis of polydisperse nanoplatelets using SAXS"

Datacite citation style:
van Hazendonk, Laura; Tuinier, Remco; Matthews, Lauren; Friedrich, Heiner; Vis, Mark (2023): Data and code related to the manuscript "Morphological analysis of polydisperse nanoplatelets using SAXS". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/54d3a9bf-5029-43c8-ba83-501382403161.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
choose version: version 2 - 2024-03-18 (latest)
version 1 - 2023-11-08

In the work related to this dataset, we propose a fast and quantitative method for the in situ characterization of dispersions of polydisperse nanoplatelets on the example of graphene nanoplatelets (GNPs) and gibbsite. The method relies on synchrotron small-angle X-ray scattering (SAXS). The SAXS data are fitted with a polydisperse form factor for platelets, which yields size distributions in both thickness and radius. This dataset contains the SAXS data and mathematica scripts to process the data, fit a form factor and visualize the results. In addition, the dataset contains data from additional characterization: dynamic light scattering (DLS) and transmission electron microscopy (TEM).

history
  • 2023-11-08 first online, published, posted
publisher
4TU.ResearchData
format
SAXS data (*.h5), mathematica scripts (*.nb), python script (*.py), DLS data (*.xlsx), TEM pictures (*.tif)
funding
  • This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 881603 (Graphene Flagship Core 3) (grant code 881603) European Union's Horizon 2020 (Graphene Flagship Core 3)
organizations
Eindhoven University of Technology; European Synchrotron Radiation Facility (ESRF)

DATA

files (5)