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397 days ago
Materials and Advanced Manufacturing
397 days ago
Initial Exploratory M
: May 26, 2016
Listen to Recorded Call
: (Will post link after call concludes)
To Join the call:
Optional dial-in number: 404-947-8273. No PIN needed.
Karen Fite - GA Manufacturing Extension Partnership (Digital)
Goal- Improve operations and grow business for Manufacturers in Georgia.
Interested: in Promoting the Workshop to Manufacturers and identifying Manufacturers ready to contribute.
Learning about Big Data and how it can improve business
Educating the larger Manufactures about solutions and potential
Yu Liang- University of Tennessee (Smart Cities)
Project - Bridges (Using IoT to look at material failure in bridges across the US)
Using Hadoop and other open source platforms, but connecting them into a workflow is non-trivial
Jason Charcalla _ University of Tennessee / Oak Ridge (Systems Arch)-
Project, HPC, infrastructure, looking for partners in the Materials and Manufacturing space.
Andrew Medford - Georgia Institute of Technology -
Computational Chemistry and Materials Informatics (focus on surface science and catalysis)
- Florida A&M University, Physics, Nanoscience, HPC, machine learning
Looking for domain resources to connect best practices in materials modeling with tools and next steps for smaller academic institutions.
Teaching Python, machine learning to students
1. A Big Data in Materials and Manufacturing Industry-Academia Workshop (Summer 2016)
Will include industry scoping with faculty and postdocs in data science.
2. Education resources needed for the community
Webinars or video recordings of hands on workshops:
U.C. Berkley (August 2016 -Workshop on Open Source Tools to model Materials)
MIT materials project
Materials Genome Initiative
Access to roundtables with Domain experts
Give an opportunity for researchers or companies that are just starting in materials data science to ask experts questions regarding best practices.
Attending Meetup groups
3. Leadership roles in the Hub
Will follow up with
4. Available or needed data infrastructure
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