Big–deep–smart data in imaging for guiding materials design
Advanced microscopy techniques provide unique insight into a material's structure. This Progress Article discusses how the application of big, deep and smart data to image analysis might permit the design of materials with advanced functionality. Harnessing big data, deep data, and smart data f...
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Veröffentlicht in: | Nature materials 2015-10, Vol.14 (10), p.973-980 |
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Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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Zusammenfassung: | Advanced microscopy techniques provide unique insight into a material's structure. This Progress Article discusses how the application of big, deep and smart data to image analysis might permit the design of materials with advanced functionality.
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. |
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ISSN: | 1476-1122 1476-4660 |
DOI: | 10.1038/nmat4395 |