scholarly journals Influence of active layer thickness on the performance of distyrylarylene derivative blue organic light-emitting device

2012 ◽  
Vol 61 (9) ◽  
pp. 098101
Author(s):  
Wu You-Zhi ◽  
Zhang Wen-Lin ◽  
Ni Wei-De ◽  
Zhang Cai-Rong ◽  
Zhang Ding-Jun
2011 ◽  
Vol 1342 ◽  
Author(s):  
Atsushi Nishikawa ◽  
Naoki Furukawa ◽  
Dong-gun Lee ◽  
Kosuke Kawabata ◽  
Takanori Matsuno ◽  
...  

ABSTRACTWe investigated the electroluminescence (EL) properties of Eu-doped GaN-based light-emitting diodes (LEDs) grown by organometallic vapor phase epitaxy (OMVPE). The thickness of the active layer was varied to increase the light output power. With increasing the active layer thickness, the light output power monotonically increased. The maximum light output power of 50 μW was obtained for an active layer thickness of 900 nm with an injected current of 20 mA, which is the highest value ever reported. The corresponding external quantum efficiency was 0.12%. The applied voltage for the LED operation also increased with the active layer thickness due to an increase in the resistance of the LED. Therefore, in terms of power efficiency, the optimized active layer thickness was around 600 nm. These results indicate that the optimization of the LED structure would effectively improve the luminescence properties.


2015 ◽  
Vol 3 (26) ◽  
pp. 6613-6615 ◽  
Author(s):  
Chun Sun ◽  
Yu Zhang ◽  
Sergii Kalytchuk ◽  
Yu Wang ◽  
Xiaoyu Zhang ◽  
...  

Monochrome LEDs and color graphical patterns were fabricated by changing the thickness and doping concentration of carbon dot layers.


2013 ◽  
Vol 5 (2) ◽  
pp. 305-310 ◽  
Author(s):  
C. Beer ◽  
A. N. Fedorov ◽  
Y. Torgovkin

Abstract. Based on the map of landscapes and permafrost conditions in Yakutia (Merzlotno-landshaftnaya karta Yakutskoi0 ASSR, Gosgeodeziya SSSR, 1991), rasterized maps of permafrost temperature and active-layer thickness of Yakutia, East Siberia were derived. The mean and standard deviation at 0.5-degree grid cell size are estimated by assigning a probability density function at 0.001-degree spatial resolution. The gridded datasets can be accessed at the PANGAEA repository (doi:10.1594/PANGAEA.808240). Spatial pattern of both variables are dominated by a climatic gradient from north to south, and by mountains and the soil type distribution. Uncertainties are highest in mountains and in the sporadic permafrost zone in the south. The maps are best suited as a benchmark for land surface models which include a permafrost module.


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