Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

Materials Data Facility as Community Database to Share Nano-manufacturing Recipes

3 views

Published on

This presentation was given at the 2019 GlobusWorld Conference in Chicago, IL by Ben Galewsky from the National Center for Supercomputing Applications (NCSA).

Published in: Technology
  • Be the first to comment

  • Be the first to like this

Materials Data Facility as Community Database to Share Nano-manufacturing Recipes

  1. 1. Materials Data Facility as Community Database to Share Nano-manufacturing Recipes Presented by Ben Galewsky (bengal1@Illinois.edu)
  2. 2. MDF Overview Build data services to • Empower researchers to publish data, regardless of size, type, and location • Automate data and metadata extraction and ingest • Enable unified search and discovery across disparate materials data sources Deploy with APIs to simplify connection to other data efforts and to enable automation ML and Informatics in Materials
  3. 3. Materials Data Facility Discovered Searched Browsed Shared Recommended Accessed The Materials Data Facility (MDF) is an effort to build a set of data services to support materials science researchers. MDF offers a data publication service where materials scientists can publish, discover, preserve, and share research datasets ranging in size from kilobytes to terabytes. Published Identified Described Curated Verifiable Accessible Preserved AND
  4. 4. Materials Data Facility Processes • Connect: Extract domain-relevant metadata / transform the data • Publish: Built to handle big data (many TB, millions of files), provides persistent identifier for data, distributed storage enabled • Discover: Programmatic search index to aggregate and retrieve data across hundreds of indexed data sources • Currently holds ~30TB of data from over 150 authors, millions of individual results Beta testing Open Open
  5. 5. Joshua Schiller, Matthew Robertson, Kristina Miller, Ricardo Toro, Benjamin Galewsky, Darren Adams, Kevin Liu, Daniel Katz, Kevin Cruse, Kaihao Zhang, Elif Ertekin, Sameh Tawfick and Placid Ferreira Department of Mechanical Engineering University of Illinois at Urbana-Champaign Gr-ResQ Graphene Recipes for Synthesis of High Quality Materials
  6. 6. Graphene 2-dimensional sheet of carbon atoms “Honeycomb” lattice Properties • High strength • Electrically conductive • Lightweight • Flexible Applications • Transparent conductor • Flexible electronics • Mechanical composites https://www.nature.com/news/graphene-the-quest-for-supercarbon- 1.14193
  7. 7. How Do We Make It? http://www.plasma-electronics.com/chemical-vapor-deposition.html
  8. 8. CVD Recipes Over 200 variables per sample o Furnace temperature o Furnace pressure o Gas flow o Sample position o Annealing condition o Growing condition o Cooling condition o Sample preparation o Catalyst o Furnace dimensions
  9. 9. Challenges With CVD o Poor repeatability of experiments o Lack of quantitative description of the parameter space o Necessity for centralized database of existing experimental data
  10. 10. Gr-Res-Q Analysis Tools Raman Tool Image Tool Submit Tool User Info Recipe Data Image Files Raman Files Query Tool Raw Query Analysis Query MDF Database Raw Set Analysis Validate Globus Auth Globus Search Globus Transfer
  11. 11. Publication to MDF •We treat each recipe as a dataset •Subsequent analyses are also datasets •Collections of datasets can be bundled together with a single, DOI minted for publication •Datasets are searchable via Forge
  12. 12. bengal1@Ilinois.edu

×