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Suggested Citation:"Appendix B: Workshop Agenda." National Academies of Sciences, Engineering, and Medicine. 2021. Data Analytics and What It Means to the Materials Community: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/25628.
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B

Workshop Agenda

July 16–17, 2019
National Academy of Sciences Building
Washington, DC

July 16, 2019: OPEN SESSION

8:30 a.m. Welcome, Meeting Objectives, Introductions
Chair: Haydn Wadley
8:45 Keynote Speaker: Gareth Conduit, Intellegens

Presentation: Data Analytics and What It Means to the Materials Community

Topic 1: Materials Design

Introductions by Lourdes Salamanca-Riba, Q&A conducted by Tresa Pollock
9:35

Speaker: Bill Mahoney, ASM International

Presentation: Data Analytics in the ASM Community

10:05 Break
Suggested Citation:"Appendix B: Workshop Agenda." National Academies of Sciences, Engineering, and Medicine. 2021. Data Analytics and What It Means to the Materials Community: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/25628.
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10:25

Speaker: Chris Wolverton, Northwestern University

Presentation: Materials Design Today

10:55

Speaker: Steven Arnold, NASA

Presentation: 2040 Vision Study: NASA’s Implementation Activities

11:25 Lunch
12:25 p.m. Panel Discussion on Materials Design
Introductions by Tresa Pollock, Q&A conducted by Lourdes Salamanca-Riba

Panelists: John Mauro, Penn State

Brian Storey, Olin College and Toyota Research Institute
Dane Morgan, University of Wisconsin, Madison

Topic 2: Data Curation

Introductions by Robert Hull, Q&A conducted by Susan Sinnott
1:45

Speaker: James Goddin, ANSYS Granta (Zoom)

Presentation: Data Management and Machine Learning Aspects of the Accelerated Metallurgy Project

2:15

Speaker: Josh Peek, Space Telescope Science Institute

Presentation: Toward a Grand Unified Practice of Astronomical Metadata

2:45 Break
3:00

Speaker: Marty Green, NIST

Presentation: Next-Generation Materials Genome Initiative (MGI), Driven by Data and Artificial Intelligence

3:30 Panel Discussion on Data Curation
Introductions by Susan Sinnott, Q&A conducted by Robert Hull

Panelists: B.S. Manjunath, University of California, Santa Barbara

Ichiro Takeuchi, University of Maryland
Cormac Toher, Duke University
4:50 Wrap-Up and Final Comments
Suggested Citation:"Appendix B: Workshop Agenda." National Academies of Sciences, Engineering, and Medicine. 2021. Data Analytics and What It Means to the Materials Community: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/25628.
×
5:00 Adjourn Meeting Day 1

July 17, 2019: OPEN SESSION

8:30 a.m. Welcome, Plans for Today
Chair: Haydn Wadley
8:45 Keynote Speaker: Surya Kalidindi, Georgia Tech

Presentation: AI-Based Knowledge Systems for Supporting Materials-Manufacturing Innovations

Topic 3: Emerging Applications

Introductions by Haydn Wadley, Q&A conducted by Ward Plummer
9:35

Speaker: Apurva Mehta, Stanford University

Presentation: Accelerating Discoveries of Compositionally Complex Alloys by Iterating Machine Learning with High-Throughput Experimentation

10:05 Break
10:25

Speaker: Florencia Paredes, Citrine Informatics

Presentation: Challenges and Opportunities of Applying AI to Materials Data

10:55

Speaker: Carla P. Gomes, Cornell University

Presentation: What the Future Holds

11:25 Lunch
12:25 p.m. Panel Discussion on Grand Challenges for the Future
Introductions by Ward Plummer, Q&A conducted by Haydn Wadley

Panelists: Gareth Conduit, Intellegens

John Gardner, NASA
Jim Warren, NIST
1:45 Wrap-Up Discussion for the Full Workshop
2:30 Adjourn Workshop
Suggested Citation:"Appendix B: Workshop Agenda." National Academies of Sciences, Engineering, and Medicine. 2021. Data Analytics and What It Means to the Materials Community: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/25628.
×
Page 60
Suggested Citation:"Appendix B: Workshop Agenda." National Academies of Sciences, Engineering, and Medicine. 2021. Data Analytics and What It Means to the Materials Community: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/25628.
×
Page 61
Suggested Citation:"Appendix B: Workshop Agenda." National Academies of Sciences, Engineering, and Medicine. 2021. Data Analytics and What It Means to the Materials Community: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/25628.
×
Page 62
Next: Appendix C: Workshop Attendee List »
Data Analytics and What It Means to the Materials Community: Proceedings of a Workshop Get This Book
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Emerging techniques in data analytics, including machine learning and artificial intelligence, offer exciting opportunities for advancing scientific discovery and innovation in materials science. Vast repositories of experimental data and sophisticated simulations are being utilized to predict material properties, design and test new compositions, and accelerate nearly every facet of traditional materials science. How can the materials science community take advantage of these opportunities while avoiding potential pitfalls? What roadblocks may impede progress in the coming years, and how might they be addressed?

To explore these issues, the Workshop on Data Analytics and What It Means to the Materials Community was organized as part of a workshop series on Defense Materials, Manufacturing, and Its Infrastructure. Hosted by the National Academies of Sciences, Engineering, and Medicine, the 2-day workshop was organized around three main topics: materials design, data curation, and emerging applications. Speakers identified promising data analytics tools and their achievements to date, as well as key challenges related to dealing with sparse data and filling data gaps; decisions around data storage, retention, and sharing; and the need to access, combine, and use data from disparate sources. Participants discussed the complementary roles of simulation and experimentation and explored the many opportunities for data informatics to increase the efficiency of materials discovery, design, and testing by reducing the amount of experimentation required. With an eye toward the ultimate goal of enabling applications, attendees considered how to ensure that the benefits of data analytics tools carry through the entire materials development process, from exploration to validation, manufacturing, and use. This publication summarizes the presentations and discussion of the workshop.

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