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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Nature materials 2015-10, Vol.14 (10), p.973-980
Hauptverfasser: Kalinin, Sergei V., Sumpter, Bobby G., Archibald, Richard K.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
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.
ISSN:1476-1122
1476-4660
DOI:10.1038/nmat4395