scholarly journals Phenalenyl based neutral radical as a novel electrochromic material modulating visible to short-wave infrared light

RSC Advances ◽  
2018 ◽  
Vol 8 (73) ◽  
pp. 42068-42072 ◽  
Author(s):  
Dejan Stekovic ◽  
Mikhail E. Itkis

A phenalenyl based small molecule can modulate from a transmissive to black state in the visible to short-wave infrared range.

2013 ◽  
Vol 2013 ◽  
pp. 1-13 ◽  
Author(s):  
Giorgia Agresti ◽  
Giuseppe Bonifazi ◽  
Luca Calienno ◽  
Giuseppe Capobianco ◽  
Angela Lo Monaco ◽  
...  

The aim of this investigation is to study the changes occurring on the surface of poplar wood exposed to artificial irradiation in a Solar Box. Colour changes were monitored with a reflectance spectrophotometer. Surface chemical modifications were evaluated by measuring the infrared spectra. Hyperspectral imaging was also applied to study the surface wood changes in the visible-near infrared and the short wave infrared wavelength ranges. The data obtained from the different techniques were compared to find the possible correlations in order to evaluate the applicability of the Hyperspectral imaging to investigate wood modifications in a non-invasive modality. The study of colour changes showed an important variation due to photo-irradiation which is the greatest change occurring within the first 24 hours. Infrared spectroscopy revealed that lignin degrades mainly in the first 48 hours. Concerning Hyperspectral imaging, the spectral features in the visible-near infrared range are mainly linked to the spectral shape, whereas in the short wave infrared cellulose and lignin affect shape and reflectance levels. The proposed approach showed that a correlation can be established between colour variation and wood degradation in the visible-near infrared range; furthermore in the short wave infrared region surface chemical changes can be assessed.


2020 ◽  
Vol 32 (45) ◽  
pp. 2003830
Author(s):  
Santanu Pradhan ◽  
Mariona Dalmases ◽  
Gerasimos Konstantatos

2019 ◽  
Vol 28 (2) ◽  
pp. 185-193 ◽  
Author(s):  
Sergey Mironov ◽  
Charles D. Hwang ◽  
Jean Nemzek ◽  
John Li ◽  
Kavitha Ranganathan ◽  
...  

RSC Advances ◽  
2021 ◽  
Vol 11 (63) ◽  
pp. 39646-39656
Author(s):  
Hao Chen ◽  
Junyi Zhu ◽  
Yang Cao ◽  
Jinquan Wei ◽  
Bocheng Lv ◽  
...  

Compared with CNT film detectors, the CsxWO3–CNT composite film detector shows a significantly enhanced photoresponse from visible light to short-wave infrared region, with an average increase of 400% in responsivity and 549% in specific detectivity.


2020 ◽  
Vol 30 (39) ◽  
pp. 2004445
Author(s):  
Santanu Pradhan ◽  
Mariona Dalmases ◽  
Ayse‐Bilgehan Baspinar ◽  
Gerasimos Konstantatos

2017 ◽  
Vol 25 (16) ◽  
pp. 18502 ◽  
Author(s):  
Wei Wang ◽  
Yuan Dong ◽  
Shuh-Ying Lee ◽  
Wan-Khai Loke ◽  
Dian Lei ◽  
...  

Sensors ◽  
2021 ◽  
Vol 21 (18) ◽  
pp. 6150
Author(s):  
Emeline Pouyet ◽  
Tsveta Miteva ◽  
Neda Rohani ◽  
Laurence de Viguerie

Hyperspectral reflectance imaging in the short-wave infrared range (SWIR, “extended NIR”, ca. 1000 to 2500 nm) has proven to provide enhanced characterization of paint materials. However, the interpretation of the results remains challenging due to the intrinsic complexity of the SWIR spectra, presenting both broad and narrow absorption features with possible overlaps. To cope with the high dimensionality and spectral complexity of such datasets acquired in the SWIR domain, one data treatment approach is tested, inspired by innovative development in the cultural heritage field: the use of a pigment spectral database (extracted from model and historical samples) combined with a deep neural network (DNN). This approach allows for multi-label pigment classification within each pixel of the data cube. Conventional Spectral Angle Mapping and DNN results obtained on both pigment reference samples and a Buddhist painting (thangka) are discussed.


Sign in / Sign up

Export Citation Format

Share Document