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Titel: A unified OLED aging model combining three modeling approaches for extending AMOLED lifetime
VerfasserIn: Jiang, Xingtong
Xu, Chihao
Sprache: Englisch
Titel: Journal of the Society for Information Display
Bandnummer: 29
Heft: 10
Seiten: 768-784
Verlag/Plattform: Wiley
Erscheinungsjahr: 2021
Freie Schlagwörter: aging compensation
aging model
AMOLED
correlation
data counting
electro-optical
image sticking
lifetime
OLED degradation
DDC-Sachgruppe: 500 Naturwissenschaften
Dokumenttyp: Journalartikel / Zeitschriftenartikel
Abstract: Aging is still the most challenging issue for organic light-emitting diodes (OLEDs), which causes the image-sticking artifacts on active-matrix organic light-emitting diode (AMOLED) displays and limits their lifetime. To overcome this demerit, an aging model is necessary to compensate for aging artifacts. In this paper, we present a unified OLED aging model, which combines three feasible modeling approaches of OLED degradation, namely, datacounting, electro-optical, and correlation methods. The model can be used to predict the efficiency decay of OLED pixels during operation. It mitigates weaknesses and limitations of each of these three models and deploys their strengths, respectively. In the first aging stage, the data-counting model is prioritized, and in the later stages, it is calibrated using the correlation model. The dependency of the efficiency decay on the operation point of OLED is covered by the electro-optical model. The unified model is based on both phenomenal and physical effects. It delivers more reliability to determine an OLED's degradation over a long-term operation and a wide operation range like current amplitude and/or temperature range. The unified aging model applies to either an analog or a digital driving scheme. A corresponding compensation based on the aging model can be applied for extending the AMOLED lifetime.
DOI der Erstveröffentlichung: 10.1002/jsid.1064
URL der Erstveröffentlichung: https://doi.org/10.1002/jsid.1064
Link zu diesem Datensatz: urn:nbn:de:bsz:291--ds-411542
hdl:20.500.11880/36931
http://dx.doi.org/10.22028/D291-41154
ISSN: 1938-3657
1071-0922
Datum des Eintrags: 23-Nov-2023
Fakultät: NT - Naturwissenschaftlich- Technische Fakultät
Fachrichtung: NT - Systems Engineering
Professur: NT - Prof. Dr. Chihao Xu
Sammlung:SciDok - Der Wissenschaftsserver der Universität des Saarlandes



Diese Ressource wurde unter folgender Copyright-Bestimmung veröffentlicht: Lizenz von Creative Commons Creative Commons