Bridging nano- and microscale X-ray tomography for battery research by leveraging artificial intelligence

X-ray computed tomography (CT) is a non-destructive imaging technique in which contrast originates from the materials’ absorption coefficient. The recent development of laboratory nanoscale CT (nano-CT) systems has pushed the spatial resolution for battery material imaging to voxel sizes of 50 nm, a...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Nature nanotechnology 2022-05, Vol.17 (5), p.446-459
Hauptverfasser:	Scharf, Jonathan, Chouchane, Mehdi, Finegan, Donal P., Lu, Bingyu, Redquest, Christopher, Kim, Min-cheol, Yao, Weiliang, Franco, Alejandro A., Gostovic, Dan, Liu, Zhao, Riccio, Mark, Zelenka, František, Doux, Jean-Marie, Meng, Ying Shirley
Format:	Artikel
Sprache:	eng
Schlagworte:	119/118 639/301/1034/1037 639/301/299/891 639/925/930/12 639/925/930/2735 Absorptivity Algorithms Artificial Intelligence Chemistry and Materials Science Computed tomography Computer Science Electrochemistry Electrodes Experimentation Imaging techniques Impact analysis Learning algorithms Machine learning Materials Science Medical imaging Microstructure Nanotechnology Nanotechnology and Microengineering Nondestructive testing Porosity Prediction models Review Article Spatial discrimination Spatial resolution Synchrotrons Tomography Tomography, X-Ray Computed - methods Tortuosity
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!