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

In the work related to this dataset, we propose a fast and quantitative method for the <em>in situ</em> 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).

针对本数据集开展的研究工作中，我们提出了一种快速定量的原位（in situ）表征方法，以石墨烯纳米片（graphene nanoplatelets, GNPs）和三水铝石（gibbsite）为示例，实现多分散纳米片分散体系的原位表征。该方法基于同步辐射小角X射线散射（synchrotron small-angle X-ray scattering, SAXS）技术：通过对SAXS数据采用片状颗粒多分散形状因子进行拟合，可得到厚度与半径两个维度的尺寸分布。本数据集包含SAXS原始数据以及用于数据处理、形状因子拟合与结果可视化的Mathematica脚本。此外，本数据集还涵盖补充表征实验所得的数据：动态光散射（dynamic light scattering, DLS）与透射电子显微镜（transmission electron microscopy, TEM）测试数据。