P‐5.5: A solution for color coordinate shift of high‐end display

2021 ◽  
Vol 52 (S2) ◽  
pp. 810-814
Author(s):  
Xin Chen ◽  
Lei Liu ◽  
Kai Diao ◽  
Qingna Hou ◽  
Jie Liu ◽  
...  
Keyword(s):  
2020 ◽  
Vol 37 ◽  
pp. 172-183
Author(s):  
Cadmus C A Yuan ◽  
JiaJie Fan ◽  
XueJun Fan

Abstract The performance and reliability of the light-emitting diode (LED) system significantly depend on the thermal–mechanical loading-enhanced multiple degradation mechanisms and their interactions. The complexity of the LED system restricts the theoretical understanding of the root causes of the luminous fluctuation or the establishment of the direct correlation between the thermal aging loading and the luminous outputs. This paper applies the deep machine learning techniques and develops a gated network with the two-step learning algorithm to build the empirical relationship between the design parameters and the thermal aging loading and the luminous output of LED products. The flexibility of the proposed method will be demonstrated by integrating it with different neural network architectures. The proposed gated network concept has been validated in both multiple LED chip packaging and LED luminaire under thermal aging loading. The validation of the luminous data of multiple LED chip packaging shows that the maximum differences of the correlated color temperature (CCT) and color coordinate are 2.6% and 1.0%, respectively. Moreover, the machine learning results of the LED luminaire exhibit that the differences of lumen depreciation, CCT and color coordinate are 1.6%, 1.9% and 1.1%, after 2160 h of thermal aging.


Small ◽  
2020 ◽  
Vol 16 (14) ◽  
pp. 1907569 ◽  
Author(s):  
Ha Lim Lee ◽  
Won Jae Chung ◽  
Jun Yeob Lee

2017 ◽  
Vol 32 (3) ◽  
pp. 035022
Author(s):  
Seung Hyun Park ◽  
Sang Hern Lee ◽  
Yong Hyun Kim ◽  
Young Woo Kim ◽  
Sang-Wan Ryu
Keyword(s):  

2010 ◽  
Vol 297-301 ◽  
pp. 561-566
Author(s):  
C.H. Liu ◽  
C.H. Tesng ◽  
C.P. Cheng

There are several kinds of methods in improving the efficiency of organic light emitting diodes (OLEDs). In this work, we used a co-deposited hole blocking layer to improve the efficiency of OLEDs. The structure of the component is: ITO/ MTDATA(15 nm) /NPB(40 nm) /BCP(10 nm) /BCP: Alq(15 nm) /LiF(0.7 nm)/ Al(180 nm). We changed the mixing rate of the BCP:Alq layer to be capable of hole blocking and electron transporting, and then improved the efficiency of OLEDs. Finally, we prepared white light OLED with doping Rubrene in NPB. When the concentration of the NPB: Rubrene layer was 2.0 wt.%, the device could emit the white light at 100 mA/cm2, and the luminance was above 2300 cd/m2, and the color coordinate was x = 0.36, y = 0.37.


2001 ◽  
Vol 16 (4) ◽  
pp. 1210-1216 ◽  
Author(s):  
Chulsoo Yoon ◽  
Shinhoo Kang

Zn2−xMnxSiO4phosphors were synthesized by a hydrothermal process using ZnO and SiO2. Prismatic Zn4Si2O7(OH)2· H2O particles were formed through heterogeneous nucleation on the surface of the ZnO particles. The Zn2SiO4phase was formed through an isometric phase transition of Zn4Si2O7(OH)2· H2O. Water pressure, as well as the particle size of the raw materials, had a profound effect on the temperature of phase formation. The effect of solution pH on the morphology and growth of the particles was investigated. The photoluminescence of the synthesized Zn2−xMnxSiO4phosphor was also examined. The color coordinate of the Zn2−xMnxSiO4phosphor obtained in this study showed a green color, which was shifted toward short wavelength.


2017 ◽  
Vol 27 (3) ◽  
pp. 268-270
Author(s):  
De-bo Zhou ◽  
Xiao-xiao Li ◽  
Kai Feng ◽  
Sheng-yu Feng ◽  
Lian-feng Wu

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