Graphene - Recipes for Synthesis of High Quality Materials (Gr-ResQ) is a nanoHUB tool designed to be a one stop solution for analysis of graphene synthesis by chemical vapor deposition. Gr-ResQ consists of a comprehensive database of synthesis recipes and results as well as a suite of software tools to analyze the database. Synthesis data available comprise both (i) chemical vapor deposition recipes and reaction parameters, and (ii) results data including scanning electron microscope images, Raman spectra, and qualitative sample descriptions.

Features

• Query -- Browse and Query the live Gr-ResQ database for synthesis recipes. Query functionalities allow users to search the recipe database using specific synthesis conditions (e.g. temperature, catalyst) or results (specific Raman signature).

• Submit -- Contribute your own to the Gr-ResQ database. Gr-ResQ submit functionalities allow users to store, manage and publish synthesis conditions and results in a standard format. Contributor privilege allows users to submit synthesis data. Visit our nanoHUB group to request submit privileges.

• Analyse -- Gr-ResQ offers tools to analyze scanning electron microscope images and Raman spectra of graphene.
• Control -- Use a nanoHUB session to launch and track individual synthesis experiments and collaborate with the graphene synthesis community. OSCM enables users to generate OSCM transactions (JSON) which are files describing a particular Gr-ResQ recipe while inputting reaction parameters, and submit it remotely for execution.
• Publish -- The tools are integrated with the Materials Data Facility (MDF) - a data publication service for materials research. Data that has been contributed using Gr-ResQ is published to MDF and receives a unique citable DOI once validated.

Documentation

For more information on how to use the tool, refer to our tutorial documents:

• Query_Tool_Tutorial.pdf
• Submit_Tool_Tutorial.pdf
• OSCM_-_Customer_Tutorial.pdf
• OSCM_-_Provider_Tutorial.pdf

Researchers should cite this work as follows:

• Joshua A Schiller, Darren K Adams, Kevin James Cruse, Kaihao Zhang, Elif Ertekin, Sameh H Tawfick, Mitisha Surana, Aagam Rajeev Shah, Ricardo Toro (2021), "Gr-ResQ," https://nanohub.org/resources/gresq. (DOI: 10.21981/0CAV-3V44).

  BibTex | EndNote

1. 2D materials and devices
2. chemical vapor deposition (CVD)
3. database
4. graphene
5. Gr-ResQ
6. image processing
7. nanoMFG Node
8. Raman Spectroscopy
9. scanning electron microscopy (SEM)
10. synthesis