Prediction of OLED temperature distribution based on a neural network model-Reference-Cited by-同舟云学术

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Prediction of OLED temperature distribution based on a neural network model

Published:2022-03-02 Issue:10 Volume:28 Page:2215-2224
ISSN:0946-7076
Container-title:Microsystem Technologies
language:en
Short-container-title:Microsyst Technol

Author:

Lin S. F.,Nguyen Duc Huy,Chao Paul C.-P.,Chen Hao Ren

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Hardware and Architecture,Condensed Matter Physics,Electronic, Optical and Magnetic Materials

Link

https://link.springer.com/content/pdf/10.1007/s00542-022-05264-1.pdf

Reference21 articles.

1. Al Haddad A, Canale L, Picot A, Zissis G, Maussion P and Dupuis P (2019) Degradation of the luminance and impedance evolution analysis of an OLED under thermal and electrical stress. In: IECON 2019—45th Annual Conference of the IEEE Industrial Electronics Society. pp 4260–4267. https://doi.org/10.1109/IECON.2019.8927330.

2. Berleb S, Mückl AG, Brütting W et al (2000) Temperature dependent device characteristics of organic light-emitting devices. Synth Met 111:341–344

3. Chaji GR et al (2007) Electrical compensation of OLED luminance degradation. IEEE Electron Device Lett 28(12):1108–1110. https://doi.org/10.1109/LED.2007.909854

4. Chesterman F, Muliuk G, Piepers B, Kimpe T, De Visschere P, Neyts K (2016) Power consumption and temperature distribution in WRGB active-matrix OLED displays. J Display Technol 12(6):616–625. https://doi.org/10.1109/JDT.2015.2513819

5. Chung S, Lee J-H, Jeong J et al (2009) Substrate thermal conductivity effect on heat dissipation and lifetime improvement of organic lightemitting diodes. Appl Phys Lett 94(25):253302

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