Big–deep–smart data in imaging for guiding materials design
Abstract
Harnessing big data, deep data, and smart data from state-of-the-art imaging might accelerate the design and realization of advanced functional materials. Here we discuss new opportunities in materials design enabled by the availability of big data in imaging and data analytics approaches, including their limitations, in material systems of practical interest. We specifically focus on how these tools might help realize new discoveries in a timely manner. Such methodologies are particularly appropriate to explore in light of continued improvements in atomistic imaging, modelling and data analytics methods.
- Authors:
-
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Inst. for Functional Imaging of Materials and Center for Nanophase Materials Sciences
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Inst. for Functional Imaging of Materials, Center for Nanophase Materials Sciences, and Computer Science and Mathematics Division
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Inst. for Functional Imaging of Materials and Computer Science and Mathematics Division
- Publication Date:
- Research Org.:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF)
- Sponsoring Org.:
- DOE Office of Science (SC)
- OSTI Identifier:
- 1393877
- Grant/Contract Number:
- AC05-00OR22725
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Nature Materials
- Additional Journal Information:
- Journal Volume: 14; Journal Issue: 10; Journal ID: ISSN 1476-1122
- Publisher:
- Springer Nature - Nature Publishing Group
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 36 MATERIALS SCIENCE; 97 MATHEMATICS AND COMPUTING
Citation Formats
Kalinin, Sergei V., Sumpter, Bobby G., and Archibald, Richard K. Big–deep–smart data in imaging for guiding materials design. United States: N. p., 2015.
Web. doi:10.1038/NMAT4395.
Kalinin, Sergei V., Sumpter, Bobby G., & Archibald, Richard K. Big–deep–smart data in imaging for guiding materials design. United States. https://doi.org/10.1038/NMAT4395
Kalinin, Sergei V., Sumpter, Bobby G., and Archibald, Richard K. Wed .
"Big–deep–smart data in imaging for guiding materials design". United States. https://doi.org/10.1038/NMAT4395. https://www.osti.gov/servlets/purl/1393877.
@article{osti_1393877,
title = {Big–deep–smart data in imaging for guiding materials design},
author = {Kalinin, Sergei V. and Sumpter, Bobby G. and Archibald, Richard K.},
abstractNote = {Harnessing big data, deep data, and smart data from state-of-the-art imaging might accelerate the design and realization of advanced functional materials. Here we discuss new opportunities in materials design enabled by the availability of big data in imaging and data analytics approaches, including their limitations, in material systems of practical interest. We specifically focus on how these tools might help realize new discoveries in a timely manner. Such methodologies are particularly appropriate to explore in light of continued improvements in atomistic imaging, modelling and data analytics methods.},
doi = {10.1038/NMAT4395},
journal = {Nature Materials},
number = 10,
volume = 14,
place = {United States},
year = {Wed Sep 23 00:00:00 EDT 2015},
month = {Wed Sep 23 00:00:00 EDT 2015}
}
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