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Suggested Citation:"Appendix C: Workshop Attendee List." 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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C

Workshop Attendee List

Joelma Almeida, FCT

David Anspach, retired

Abhijit Chandra, Iowa State University

Bertha Chang, North Carolina State University

Eungchun Cho, CNC

Julie Christodoulou, Office of Naval Research

Shawn Coleman, CCDC U.S. Army Research Laboratory

Jason Dunavant, Selbst

Lisa Friedersdorf, NNCO

Alex Fu, Federal Aviation Administration

Michael Fundator, National Academies of Sciences, Engineering, and Medicine

Maeva Ghonda, Institute of Electrical and Electronics Engineers

Somnath Ghosh, Johns Hopkins University

Winston Goslee, WG Design & Consulting

Jason Hattrick-Simpers, National Institute of Standards and Technology (NIST)

Steve Hellberg, Naval Research Laboratory

Robert Herzog, CVK

Bingyin Hu, Duke University

Kathy Huynh, The MITRE Corporation

Howard Joress, NIST

Amrit Kafle, The Catholic University of America

__________________

NOTE: This list does not include staff or speakers.

Suggested Citation:"Appendix C: Workshop Attendee List." 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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Ursula Kattner, NIST

Anthony Kee, Defense Threat Reduction Agency

Manoj Kolel-Veetil, Naval Research Laboratory

Anqi Lin, Duke University

Kenny Lipkowitz, Office of Naval Research

F. Leonel López, retired

Michael McGrath, McGrath Analytics, LLC

Shafigh Mehraeen, University of Illinois, Chicago

Stephen Mensah, Stantec

Honore Nguessan, Montgomery College

Eric Palm, National High Magnetic Field Laboratory

Wenxiao Pan, University of Wisconsin, Madison

Oded Rabin, University of Maryland

Jagannathan Ramanujam, Louisiana State University

Robert Rapson, Universal Technology Corporation

Thomas Russell, Department of Energy, Office of Science

Lorena Sandoval, George Mason University

David Shifler, Office of Naval Research

Giovanni Paolo Sillito

Dhruv Singh, NAFCU

Jessica Swallow, Institute for Defense Analyses

Pantipa Tachawachira, University of Washington

Anh Tran, Sandia National Laboratories

Nha Tran, Louisiana State University

Zachary Trautt, NIST

Mark VanLandingham, NIST

Ann Vroom, VroomConsults

Jack Wang, U.S. Government Accountability Office

Anier Landon Woodyard, Innvoatio Et Cetera, Inc.

Jing Xie, MacCormac College

Ji-Cheng (JC) Zhao, University of Maryland

Tim Zimmerlin, retired

Suggested Citation:"Appendix C: Workshop Attendee List." 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 63
Suggested Citation:"Appendix C: Workshop Attendee List." 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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Page 64
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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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