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Progress in Materials Data Availability and Application: A Review

Published

Author(s)

Chandler A. Becker, James A. Warren

Abstract

Materials researchers are generating data in ever-increasing volumes, and this data is, in turn, fueling the discovery and design of new materials. These changes are enabled by advances in data capture via laboratory information management systems (LIMS), high-throughput experiment and computation, improved data collection capabilities, automated experiment selection and execution, and new analytical methods based on artificial intelligence and machine learning approaches. Data infrastructure is being developed with increasing numbers of repositories and data-sharing and standardization efforts. Incorporation of physical knowledge is one area that is particularly exciting with challenges different from purely empirical datasets. There are many opportunities to apply sophisticated data processing and analysis approaches to materials data and its attendant design and discovery problems.
Citation
IEEE Signal Processing Magazine

Keywords

materials data, materials informatics

Citation

Becker, C. and Warren, J. (2021), Progress in Materials Data Availability and Application: A Review, IEEE Signal Processing Magazine, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=932314 (Accessed February 1, 2023)
Created December 28, 2021, Updated November 29, 2022