May 27, 2020
Journal Article

Data-driven glass/ceramic science research: Insights from the glass and ceramic and data science/informatics communities

Laura Bartolo
Ross Brindle
Eileen Deguire
Elizabeth Dickey
Justin Fessler
Roger French
Ulrich Fotheringham
Martin Harmer
Edgar Lara-Curzio
Sara Lichtner
Emmanuel Maillet
John Mauro
Mark Mecklenborg
Bryce Meredig
Krishna Rajan
Jeffrey Rickman
Susan Sinnott
Charlie Spahr
Changwon Suh
Adama Tandia
Logan Ward
Richard Weber

Abstract

Data-driven science and technology have helped achieve meaningful results in areas such as materials/drug discovery and health care, but efforts to apply high-end data science algorithms to the areas of glass and ceramics are still limited. Many glass and ceramic researchers are interested in enhancing their work by using more data and data analytics to efficiently develop better functional materials. Simultaneously, the data science community is looking for a way to access materials data resources to test and validate their advanced computational learning algorithms. To bring together the glass/ceramic and data science communities to address this issue, The American Ceramic Society (ACerS) convened a Glass/Ceramics Data Science Workshop on February 6, 2018, at Nexight Group offices in Silver Spring, Maryland. The workshop, sponsored by the National Institute for Standards and Technology (NIST) Advanced Manufacturing Technologies (AMTech) program, brought together a select group of 20 key leaders in the data science, informatics, and glass/ceramics communities to identify the greatest opportunities and mechanisms for facilitating increased collaboration and coordination between these communities. This article summarizes workshop discussions about the current challenges that limit interactions and collaboration between the glass/ceramic and data science communities, opportunities for a coordinated approach that leverages existing knowledge in both communities, and a clear path toward the enhanced use of data science technologies for functional glass and ceramic research and development.

Revised: May 27, 2020 | Published: November 1, 2019

Citation

Deguire E., L. Bartolo, R. Brindle, R. Devanathan, E. Dickey, J. Fessler, and R.H. French, et al. 2019. "Data-driven glass/ceramic science research: Insights from the glass and ceramic and data science/informatics communities." Journal of the American Ceramic Society 102, no. 11:6385-6402. PNNL-SA-136773. doi:10.1111/jace.16677