Skip to main content
OSTI.GOVU.S. Department of Energy Office of Scientific and Technical Information
U.S. Department of Energy
Office of Scientific and Technical Information
 

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

Journal Article · · Journal of the American Ceramic Society
DOI:https://doi.org/10.1111/jace.16677· OSTI ID:1560349
 [1];  [2];  [3];  [4];  [5];  [6];  [7];  [8];  [9];  [10];  [3];  [11];  [12];  [1];  [13];  [14];  [9];  [12];  [1];  [3] more »;  [15];  [16];  [17] « less
  1. The American Ceramic Society Westerville Ohio
  2. Northwestern‐Argonne Institute for Science and Engineering Northwestern University Evanston Illinois
  3. Nexight Group Silver Spring Maryland
  4. Energy and Environment Directorate Pacific Northwest National Laboratory Richland Washington
  5. Department of Materials Science and Engineering North Carolina State University Raleigh North Carolina
  6. IBM Watson Arlington Virginia
  7. Department of Materials Science and Engineering Case Western Reserve University Cleveland Ohio
  8. SCHOTT AG Mainz Germany
  9. Department of Materials Science and Engineering Lehigh University Bethlehem Pennsylvania
  10. Mechanical Properties and Mechanics Group Oak Ridge National Laboratory Oak Ridge Tenn
  11. Materials Science and Engineering GE Global Research Niskayuna New York
  12. Department of Materials Science and Engineering The Pennsylvania State University University Park Pennsylvania
  13. Citrine Informatics Redwood City California
  14. Department of Materials Design and Innovation University at Buffalo Buffalo New York
  15. Corning Incorporated Corning New York
  16. Globus Labs University of Chicago Chicago Illinois
  17. Materials Development Inc. Arlington Heights Illinois
+ Show Author Affiliations
Abstract

Data‐driven science and technology have helped achieve meaningful technological advancements 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 develop better functional materials more efficiently. 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 address this issue, The American Ceramic Society (ACerS) convened a Glass and Ceramic Data Science Workshop in February 2018, sponsored by the National Institute for Standards and Technology (NIST) Advanced Manufacturing Technologies (AMTech) program. The workshop brought together a select group of leaders in the data science, informatics, and glass and ceramics communities, ACerS, and Nexight Group 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 and 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.

Sponsoring Organization:
USDOE
Grant/Contract Number:
AR0000707
OSTI ID:
1560349
Alternate ID(s):
OSTI ID: 1572500
Journal Information:
Journal of the American Ceramic Society, Journal Name: Journal of the American Ceramic Society Journal Issue: 11 Vol. 102; ISSN 0002-7820
Publisher:
Wiley-BlackwellCopyright Statement
Country of Publication:
United States
Language:
English

References (44)

Materials Design and Discovery with High-Throughput Density Functional Theory: The Open Quantum Materials Database (OQMD) journal September 2013
Materials Data Infrastructure: A Case Study of the Citrination Platform to Examine Data Import, Storage, and Access journal June 2016
High-Dimensional Materials and Process Optimization Using Data-Driven Experimental Design with Well-Calibrated Uncertainty Estimates journal July 2017
Physics-Informed Network Models: a Data Science Approach to Metal Design journal December 2017
Perovskite-type oxides for high-temperature oxygen separation membranes journal November 1999
Nanocrystalline undoped ceria oxygen sensor journal October 2003
Materials informatics journal October 2005
Fuel cell materials and components☆☆☆The Golden Jubilee Issue—Selected topics in Materials Science and Engineering: Past, Present and Future, edited by S. Suresh. journal November 2003
Exploring the microstructure manifold: Image texture representations applied to ultrahigh carbon steel microstructures journal July 2017
A computer vision approach for automated analysis and classification of microstructural image data journal December 2015
Considerations for choosing and using force fields and interatomic potentials in materials science and engineering journal December 2013
Degradation science: Mesoscopic evolution and temporal analytics of photovoltaic energy materials journal August 2015
Decoding the glass genome journal April 2018
Building electricity consumption: Data analytics of building operations with classical time series decomposition and case based subsetting journal October 2018
Advancing glasses through fundamental research journal April 2009
A new transferable interatomic potential for molecular dynamics simulations of borosilicate glasses journal October 2018
A non-destructive method for crack quantification in photovoltaic backsheets under accelerated and real-world exposures journal July 2018
Accelerating the Design of Functional Glasses through Modeling journal June 2016
Materials Synthesis Insights from Scientific Literature via Text Extraction and Machine Learning journal October 2017
Discovery and Optimization of Materials Using Evolutionary Approaches journal May 2016
Theoretical Prediction and Experimental Realization of New Stable Inorganic Materials Using the Inverse Design Approach journal June 2013
Identification and design principles of low hole effective mass p-type transparent conducting oxides journal August 2013
Data management: it starts at the bench journal December 2009
The high-throughput highway to computational materials design journal February 2013
Experimental search for high-temperature ferroelectric perovskites guided by two-step machine learning journal April 2018
Our path to better science in less time using open data science tools journal May 2017
The FAIR Guiding Principles for scientific data management and stewardship journal March 2016
Commentary: The Materials Project: A materials genome approach to accelerating materials innovation journal July 2013
Combinatorial screening for new materials in unconstrained composition space with machine learning journal March 2014
A Nonrelational Data Warehouse for the Analysis of Field and Laboratory Data From Multiple Heterogeneous Photovoltaic Test Sites journal January 2017
US Government Linked Open Data: Semantic.data.gov journal May 2012
Determining the Power Rate of Change of 353 Plant Inverters Time-Series Data Across Multiple Climate Zones, Using a Month-By-Month Data Science Analysis conference June 2017
Insights into metastability of photovoltaic materials at the mesoscale through massive I–V analytics
  • Peshek, Timothy J.; Fada, Justin S.; Hu, Yang
  • Journal of Vacuum Science & Technology B, Nanotechnology and Microelectronics: Materials, Processing, Measurement, and Phenomena, Vol. 34, Issue 5 https://doi.org/10.1116/1.4960628
journal September 2016
Reproducible Research in Computational Science journal December 2011
The climate of the European Alps: Shift of very high resolution Köppen-Geiger climate zones 1800–2100 [The climate of the European Alps: Shift of very high resolution Köppen-Geiger climate zones 1800–2100] journal April 2017
Before the Repository: Defining the Preservation Threats to Research Data in the Lab conference January 2015
Materials Informatics: The Materials “Gene” and Big Data journal July 2015
Filling the gap between researchers studying different materials and different methods: a proposal for structured keywords journal December 2006
Making materials science and engineering data more valuable research products journal September 2014
Chapter 16: Text Mining for Translational Bioinformatics journal April 2013
Ten Simple Rules for Creating a Good Data Management Plan journal October 2015
Data-Enabled Discovery and Design of Energy Materials (D 3 EM): Structure of An Interdisciplinary Materials Design Graduate Program journal January 2017
Beyond bulk single crystals: A data format for all materials structure–property–processing relationships journal August 2016
Creation of the National Artificial Intelligence Research and Development Strategic Plan journal July 2018

Similar Records

Data-driven glass/ceramic science research: Insights from the glass and ceramic and data science/informatics communities
Journal Article · Fri Nov 01 00:00:00 EDT 2019 · Journal of the American Ceramic Society · OSTI ID:1572500
The role of ceramic and glass science research in meeting societal challenges: Report from an NSF-sponsored workshop
Journal Article · Thu Apr 20 20:00:00 EDT 2017 · Journal of the American Ceramic Society · OSTI ID:1497663

Related Subjects