scholarly journals Corrigendum to “Principal Component Analysis: Reveal Camouflaged Information in X-Ray Absorption Spectroscopy Photoemission Electron Microscopy of Complex Thin Oxide Films [Thin Solid Films 65 (2018) 75-84]”

2021 ◽  
pp. 138694
Author(s):  
Margret Giesen ◽  
Matteo Jugovac ◽  
Giovanni Zamborlini ◽  
Vitaliy Feyer ◽  
Felix Gunkel ◽  
...  
Keyword(s):  
Electron Microscopy ◽  
Principal Component Analysis ◽  
Absorption Spectroscopy ◽  
Principal Component ◽  
Thin Solid Films ◽  
X Ray ◽  
Solid Films ◽  
Thin Oxide Films ◽  
X Ray Absorption ◽  
Photoemission Electron

Plastic Classification with X-ray Absorption Spectroscopy Based on Back Propagation Neural Network

2017 ◽  
Vol 71 (11) ◽  
pp. 2538-2548 ◽  
Author(s):  
Qian Wang ◽  
Xiaomei Wu ◽  
Lingcong Chen ◽  
Zheng Yang ◽  
Zheng Fang
Keyword(s):  
Absorption Spectroscopy ◽  
Recognition Rate ◽  
Back Propagation ◽  
Principal Component ◽  
Back Propagation Neural Network ◽  
X Ray ◽  
Analysis Methods ◽  
Average Recognition Rate ◽  
The Stability ◽  
X Ray Absorption

Currently, spectral analysis methods used in the classification of plastics have limitations that do not apply to opaque plastics or the stability of experimental results is not strong. In this paper, X-ray absorption spectroscopy (XAS) has been applied to classify plastics due to its strong penetrability and stability. Fifteen kinds of plastics are selected as specimens. X-ray, which is excited by a voltage of 60 kV, penetrated these specimens. The spectral data acquired by CdTe X-ray detector are processed by principal component analysis (PCA) and other data analysis methods. Then the back propagation neural networks (BPNN) algorithm is used to classify the processed data. The average recognition rate reached 96.95% and classification results of all types of plastic results were analyzed in detail. It indicates that XAS has the potential to classify plastics and that XAS can be used in some fields such as plastic waste sorting and recycling. At the same time, the technology of XAS, in the future, can also be used to classify more substances.

scholarly journals The crystallization of MgO–Al2O3–SiO2–ZrO2glass-ceramics with and without the addition of Y2O3– a combined STEM/XANES study

RSC Advances ◽  
2016 ◽  
Vol 6 (67) ◽  
pp. 62934-62943 ◽  
Author(s):  
Sabrina Seidel ◽  
Christian Patzig ◽  
Thomas Höche ◽  
Michael Krause ◽  
Martin Ebert ◽  
...  
Keyword(s):  
Electron Microscopy ◽  
Transmission Electron Microscopy ◽  
Absorption Spectroscopy ◽  
Analytical Transmission Electron Microscopy ◽  
X Ray ◽  
Aluminosilicate Glasses ◽  
Transmission Electron ◽  
X Ray Absorption

The crystallization of magnesium–aluminosilicate glasses is monitored, described and discussedviaX-ray absorption spectroscopy and analytical transmission electron microscopy.

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