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Electron-beam induced deposition on graphene might be used to create nanometer-scale doping patterns, diffraction gratings, or etch masks in this novel electronic material.
We demonstrate that these etch masks have numerous advantages: they can be synthesized simply by heating a copper foil in air, deposited on graphene from a solution, they are inert to oxygen plasma, and can be removed from the substrate by dissolution in mild acids.
The fabricated shadow masks not only provide low cost patterning but also essential, when chemical free lithography is required to make contacts with bio-molecules, CNTs, graphene etc.
Compared with conventional lithographic fabrication techniques, this new approach uses graphene edges as the templates or masks and offers advantage in technological simplicity and capability of creating small features below 10 nm scale.
Furthermore, we show that while graphene is a zero gap semi-metal, graphane and fluorinated graphene are wide gap semiconductors.
Graphene can be made much thinner, even down to a single atomic layer, and is therefore a natural candidate for this kind of application.
The strategy of graphene encapsulation can be extended to develop new graphene-based materials with superior physical an...
We find that most of them are few-layer graphene, although single-layer graphene can be occasionally detected.
The transparent conducting films made of electrochemically exfoliated graphene can be simply prepared by an airbrush spraying method, which is easy to scale up for large-area deposition, and compatible with flexible polymer substrates.

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How effective were mask in preventing covid spread?3 answersMasking interventions have been studied to determine their effectiveness in preventing the spread of COVID-19. Observational studies suggest that masking may be associated with a small reduction in the risk of SARS-CoV-2 infection in community settings. Laboratory experiments have shown that N95 masks effectively block the penetration of respiratory fluids, while cloth masks with an intermediate HEPA filter layer can perform similarly to N95 masks. The use of masks in public transportation spaces has been found to be important in controlling the spread of the virus. Automatic real-time face mask detection systems have been developed to ensure proper mask usage in public locations. However, it is important to note that there is still some uncertainty and evidence gaps regarding the effectiveness of masking interventions, and studies need to consider other infection control measures and contextual factors.
What are the benefits of using facial masks for skin care?5 answersFacial masks for skincare have several benefits. They help in maintaining skin health and treating various facial skin problems. Facial masks are popular because they are offered in various variants, each with its own functions and benefits. Using facial masks can provide proper facial treatment, and it is advisable for consumers to seek advice from experts to select the right mask for their skin type. Facial masks can improve skin health by addressing specific skin concerns and providing nourishment and hydration to the skin. They can also help in reducing the risk of skin barrier disruption and skin inflammation. Additionally, facial masks can be used as a preventive measure to prevent the spread of viruses.
What are the advantages and disadvantages of Mask RCNN?5 answersMask RCNN has several advantages and disadvantages. On the positive side, it is a completely automated method for segmenting brain tumors from MRI scans, which saves time for doctors. It can also be used for instance segmentation in satellite remote sensing images, improving detection accuracy and reducing missed detection rates. Additionally, Mask RCNN can be applied to power grid maintenance for the identification and segmentation of power grid insulators, providing high-precision results and data sources for further processing. On the other hand, one disadvantage is that the detection accuracy of Mask RCNN is poor when applied to remote sensing images due to their large scale and different specifications. Another drawback is that the low precision recognition algorithm restricts the development of power grid inspection using Mask RCNN. Despite these limitations, Mask RCNN has proven to be effective in various applications, offering automated and accurate segmentation capabilities.
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