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: 10.4121/54d3a9bf-5029-43c8-ba83-501382403161

van Hazendonk, Laura; Tuinier, Remco; Foschino, Eleonora; Matthews, Lauren; Friedrich, Heiner et. al. (2024): Data and code related to the manuscript "Morphological analysis of polydisperse nanoplatelets using SAXS". Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/54d3a9bf-5029-43c8-ba83-501382403161.v2

Dataset

x choose version: version 1 - 2023-11-08

• Physical Chemistry (incl. Structural)
• Macromolecular and Materials Chemistry
• Chemical Sciences

2D materials, characterization, colloids, disks, DLS, form factor, gibbsite, graphene, platelets, SAXS, scattering, size characterization, TEM

CC BY 4.0

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

by Laura van Hazendonk, Remco Tuinier, Eleonora Foschino, Lauren Matthews, Heiner Friedrich, Mark Vis

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).

• 2023-11-08 first online

• 2024-03-18 published, posted

4TU.ResearchData

SAXS data (*.h5), mathematica scripts (*.nb), python script (*.py), DLS data (*.xlsx), TEM pictures (*.tif)

• https://github.com/mark-vis/saxs_plates

https://data.esrf.fr/doi/10.15151/ESRF-DC-1388457372

• 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)

Eindhoven University of Technology; European Synchrotron Radiation Facility (ESRF)