Overview of Network for Computational Nanotechnology Nanomanufacturing Node and Gr-ResQ

By Elif Ertekin1; The Micro Nano Technology - Education Center2

1. Mechanical Science & Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 2. Pasadena City College, Pasadena ,CA

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Abstract

This presentation will overview of the work of nanoMFG – the Nanomanufacturing Node at the University of Illinois at Urbana-Champaign and the University of California, Berkeley. The nanoMFG node is a cyberinfrastructure effort of the Network for Computational Nanotechnology. The node adopts a comprehensive approach to assembling, developing, and implementing advanced cyberinfrastructure tools for research, education, and industrial deployment of integrated, nanoscale manufacturing processes and systems. The tools deployed target the needs of the nanomanufacturing community, while addressing the challenges of integrating data and models from multiple dimensional scales. We will highlight the node’s tools and cyberinfrastructure, available on the NCN Cyberplatform (nanoHUB), that connect nanomanufacturing researchers from academia and industry to share resources, data, and knowledge.

The presentation will conclude with an overview of 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.

You can find the Gr-ResQ Tool here.

You can join the Gr-ResQ Group on nanoHUB.

Other resources including tutorials, exmple images, synthesis recipes and Raman spectra are available at: https://purdue.app.box.com/folder/129942904749?s=occq84muhaqizyy7nueg55viakd0e2ep

Bio

Elif Ertekin Elif Ertekin is an Associate Professor of Mechanical Science and Engineering at the University of Illinois at Urbana-Champaign. She currently the Director of the Nanomanufacturing Node, a node of the Network for Computational Nanotechnology that engages the nanomanufacturing community in the creation and design of software and simulations tools that can enable emerging nanomanufacturing processes. She received her PhD in Materials Science and Engineering from UC Berkeley, and carried out post-doctoral work at the Massachusetts Institute of Technology. She has received the NSF CAREER Award, the TMS Early Career Faculty Fellow Award, the Emerging Leader Award from the Society of Women Engineers. She currently serves as the Director of Mechanics Programs in the Department of Mechanical Science and Engineering, and is an Associate Editor for the Journal of Applied Physics.

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Cite this work

Researchers should cite this work as follows:

  • Elif Ertekin, The Micro Nano Technology - Education Center (2022), "Overview of Network for Computational Nanotechnology Nanomanufacturing Node and Gr-ResQ," https://nanohub.org/resources/36453.

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Tags

Overview of Network for Computational Nanotechnology Nanomanufacturing Node and Gr-ResQ
  • Overview of Network for Computational Nanotechnology Nanomanufacturing Node and Gr-ResQ 1. Overview of Network for Comput… 0
    00:00/00:00
  • NCN configuration 2. NCN configuration 29.2625959292626
    00:00/00:00
  • nanoMFG Vision 3. nanoMFG Vision 105.6056056056056
    00:00/00:00
  • Examples of Our Tools 4. Examples of Our Tools 195.46212879546215
    00:00/00:00
  • From Rational Design 5. From Rational Design 319.05238571905238
    00:00/00:00
  • To Data Driven Manufacturing 6. To Data Driven Manufacturing 346.37971304637972
    00:00/00:00
  • From Rational Design to Data Driven Manufacturing 7. From Rational Design to Data D… 348.314981648315
    00:00/00:00
  • Gr-ResQ 8. Gr-ResQ 389.28928928928929
    00:00/00:00
  • Graphene 9. Graphene 431.03103103103103
    00:00/00:00
  • Graphene Synthesis 10. Graphene Synthesis 571.17117117117118
    00:00/00:00
  • CVD Recipes 11. CVD Recipes 706.57323990657324
    00:00/00:00
  • Characterization Data 12. Characterization Data 780.91424758091432
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  • Graphene Timeline 13. Graphene Timeline 855.42208875542212
    00:00/00:00
  • Gr-ResQ 14. Gr-ResQ 993.42676009342676
    00:00/00:00
  • Gr-ResQ 15. Gr-ResQ 1138.6720053386721
    00:00/00:00
  • Submit Tool 16. Submit Tool 1315.915915915916
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  • Query Tool 17. Query Tool 1368.7687687687687
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  • Image Tool 18. Image Tool 1418.284951618285
    00:00/00:00
  • OSCM Tool Workflow 19. OSCM Tool Workflow 1479.4127460794127
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  • Gr-ResQ Team 20. Gr-ResQ Team 1501.3346680013346
    00:00/00:00
  • Try It Out! 21. Try It Out! 1527.3940607273942
    00:00/00:00
  • Opportunities to Work Together 22. Opportunities to Work Together 1534.2676009342676
    00:00/00:00