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 REGISTRATION FOR THIS EVENT IS CLOSED

Please contact Kelly Smith at kelly.smith@gatech.edu if you have any questions or concerns.

The 2017 Materials Research & Data Science (MRaDS) Conference will be held Sept. 25-27 at the Institute for Bioscience & Biotechnology Research, University of Maryland, Rockville.

The Conference will be hosted by the National Institute of Standards and Technology, its Center of Excellence for Hierarchical Materials Design (CHiMaD), a collaboration of Northwestern University, University of Chicago, and Argonne National Laboratory, as well as the Institute for Materials (IMat) and IDEAS:MD3 at Georgia Institute of Technology.  

The two-and-a-half-day Conference will bring together researchers from major materials centers and data projects in the US and internationally, as well as representatives from the Subcommittee of the Materials Genome Initiative (SMGI) for the US National Science and Technology Council (NSTC) Committee on Technology (DOD, DOE, NIST, NSF, ONR), and early adopters in key materials industries, such as aerospace, automotive, and pharmaceutical sectors.

The aim of the Conference is to galvanize community actions toward opportunities, gaps, and implementation of evolving best practices through forward-looking Plenary Lectures, Contributed Talks and deliverables-oriented sessions. 

The Conference will kick off each day with a Plenary Lecture and will be organized around 5 central themes with 4 Breakout or Working Group sessions. A poster session and plug-fest will be sponsored during a welcome reception the evening of September 25.

Conference Themes:

  1. Case studies in Accelerated Materials Design, Development, or Deployment
  2.  Materials Data Analytics, Deep Learning, or Artificial Intelligence in data driven applications
  3.  Integration of multiscale experiments and multiscale materials models
  4.  International Advances in Materials Data Management & Infrastructure
  5.  Strategies for High Throughput Screening of Materials

We believe the 2017 Materials Research & Data Science (MR & DS) Conference will provide an important and unique venue for collective discussions and agreement on opportunities, gaps, and best practices in materials research and data science as well as help lay the foundation for an interoperable, distributive global materials innovation infrastructure.