This hands-on tutorial will introduce users to the Gr-ResQ (‘graphene rescue’) platform. Gr-ResQ is (i) an open, crowd-sourced database of recipes and characterization of graphene synthesized by chemical vapor deposition, (ii) a set of analysis tools that enable users to analyze the database, and (iii) an online cyber-physical manufacturing network that provides access to distributed CVD reactors in the form of online transactions. The purpose of Gr-ResQ is to enable wide-scale sharing of data around CVD synthesis of graphene in order to advance community knowledge of the synthesis process. Gr-ResQ was developed in collaboration with the Materials Data Facility and with the Operating System for Cyberphysical Manufacturing. You may read more about Gr-ResQ here.

In this tutorial, you will:

• learn how to access Gr-ResQ database and analysis tools on nanohub.org
• learn how to search for and contribute recipes to the Gr-ResQ database
• be trained on the analysis tools available, including raman spectrum analysis and machine learning/deep learning based analysis of SEM images
• earn how to request remote experiments through the online network, or participate in the network

You can find the GR-ResQ Tool here.

We hope that after the tutorial you will join the Gr-ResQ community to help gather our collective knowledge about the synthesis process!

This tutorial was part of the FDNS21: Future Directions in Nanomaterial Synthesis: From Rational Design to Data-Driven Manufacturing Workshop

Mitisha Surana is a graduate student pursuing a PhD in Materials Science and Engineering at the University of Illinois at Urbana-Champaign. She received her master's degree at University of Illinois at Urbana-Champaign and her bachelor's degree in Materials Science and Engineering from Anna University, Chennai, India. She works in the research group of Prof. Sameh Tawfick in Mechanical Science and Engineering, studying the interaction between graphene and its substrate during graphene synthesis via chemical vapor deposition.  She works on the experimental side of the GrResQ Project and has also aided in improving the functionalities of the tools.

Network for Computational Nanotechnology Nanomanufacturing Node

Researchers should cite this work as follows:

• Mitisha Surana (2021), "Gr-ResQ (Graphene Rescue) Tool Tutorial & Training," https://nanohub.org/resources/35081.

  BibTex | EndNote

1. chemical vapor deposition (CVD)
2. data-driven synthesis
3. graphene
4. Gr-ResQ
5. machine learning
6. nanomanufacturing
7. nanoMFG Node
8. Raman Spectroscopy
9. scanning electron microscopy (SEM)
10. synthesis