Modeling of carrier transport in organic light emitting diode by considering tail states and field dependent mobility model
Date Issued
2015
Date
2015
Author(s)
Lu, I-Hsin
Abstract
Due to the advantages of the organic light-emitting diode(OLED), the OLED has the potential to become the candidate of the next generation display technology. Since the growing market of OLEDs, people need to improve the power efficiency of OLEDs. The study of materials properties becomes very important. As a result, we need to develop simulation program to numerically analyze the electrical properties of the organic devices. To build a model for analyzing electrical properties, we used the 1D Poisson and drift-diffusion solver and made a suitable modification to the code. By considering tail states of organic materials, we analyze the electrical property of the organic materials. In addition, we also consider the field dependent mobility model to present the transport behavior of the carriers. By comparing the experiment and simulation results, we can build an effective model to analyze the experimental results. In this thesis, several issues will be analyzed. First, the contact issue between the metal and the organic layer need to be well considered. Second, for the mobility model, we found that velocity saturation model needs to be added to the field dependent model to limit the carrier velocity goes infinity. Finally, the host-guest system also has been analyzed. We build a simulation method to present this system with different doping concentrations. To analyze the emitting distribution in the active layer, we consider the exciton diffusion and exciton quenching mechanisms, such as the exciton-exciton annihilation. With this model, we can model the efficiency of the organic devices. In this thesis, we will demonstrate our approaches in modeling OLED devices.
Subjects
organic light-emitting diode
tail states
field dependent mobility model
exciton diffusion
exciton quenching
Type
thesis
File(s)![Thumbnail Image]()
Loading...
Name
ntu-104-R02941081-1.pdf
Size
23.32 KB
Format
Adobe PDF
Checksum
(MD5):44a8ecc15f96b3b71441d4cb6f0756a6
