研究目的
Exploring the capability of HAADF-STEM techniques to characterize graphene distribution in nanocomposites by simulations.
研究成果
The study concludes that HAADF-STEM techniques are effective in identifying graphene sheets in organic composites when the sheets are oriented in the direction of the electron beam. Marking graphene sheets with heavy atoms like gold improves contrast. Electron tomography is proposed as a successful technique to identify and locate reinforced areas in nanocomposites, with the TVM algorithm providing better reconstruction quality than SIRT.
研究不足
The study is based on simulations, and the practical application of the findings may be limited by the challenges of achieving high homogeneity in graphene dispersion within polymer matrices in real-world scenarios.
1、Experimental Design and Method Selection
The study uses simulated high-angle annular dark-field (HAADF) images to explore the dispersion degree of graphene layers within a carbon matrix.
2、Sample Selection and Data Sources
Atomic models representing portions of amorphous carbon matrices encircling unmarked or gold-marked graphene sheets at different orientations were generated using MATLAB software.
3、List of Experimental Equipment and Materials
The study involves the use of MATLAB for modeling and SICSTEM simulation software for image simulation.
4、Experimental Procedures and Operational Workflow
Simulated HAADF-STEM images of the models were obtained using SICSTEM simulation software, which uses a parallel implementation of the multislice method.
5、Data Analysis Methods
The study includes a statistical analysis of the intensity distribution in the HAADF-STEM images and a comparison between different reconstruction algorithms for electron tomography.
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