Download Report IEEE DataPort : Optical Microscope data of Graphene on SiO2 substrate - 2025
by Anthony Gasbarro
Information
Publisher: IEEE DataPort Publication Date of the Electronic Edition: 12/09/2025
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ISBN: 10.21227/8czy-3821
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Description
Two-dimensional materials have demonstrated outstanding electrical and thermal properties for a variety of high-precision applications. Mechanical exfoliation remains the preferred method for producing high-quality graphene samples for research purposes due to its low cost, simplicity, and ability to produce large-area single-grain flakes with high-quality properties. However, the scalability and repeatability of this exfoliation procedure remain challenges preventing large-scale adoption of these 2D materials. While theory suggests slow peels at sharp angles improve deposition, experimental validation is sparse. This study aims to fill this gap by systematically isolating and investigating the influence of two key exfoliation parameters on the resulting graphene flakes: the angle of deposition and the speed of peeling during the mechanical exfoliation process. Automated tools controlling angle and speed of deposition were used to study angle of deposition varied across 6 substrate mounting angles: 0°, 30°, 45°, 60°, 90°, and 120°. The speed of peeling was varied across four levels: 10 µm/s, 100 µm/s, 1000 µm/s and 5000 µm/s. Each of the 24 combinations of angle and speed being tested in three independent trials for a total of 72 samples. Microscope scans of each sample produced 209,952 high-resolution images which were classified using segmentation model software to determine flake thickness categories along with adhesive residue deposition classified into multiple categories. Analysis of the statistical data suggests that while slower peeling speeds tend to result in higher yields of single layer material they also produce higher residue coverage resulting in more defects. Certain combinations of higher angles and speeds, such as 5000 µm/s with substrate mounted on a 120° stage, can produce an average of $\geq$~80% of the single layer graphene as the best results with $\leq$~30\%. These insights suggest that, in practice, there are trade-offs that can provide a foundation for better optimizing high-quality yields in the mechanical exfoliation process, thereby enhancing its scalability and repeatability for broader adoption in various applications. This study demonstrates the utility of automated systems and image processing techniques and lays the groundwork for conducting high-throughput studies of material synthesis processes to understand the effects of other key parameters.
$15
$3Discount Coupon
Delivery time: Maximum 24 hours