Proceedings of the 2019 2nd International Conference on Mathematics, Modeling and Simulation Technologies and Applications (MMSTA 2019)

Research on Organic Light-emitting Diode

Authors
Weici Liu, Zhijun Xie, Ruisheng Liang
Corresponding Author
Weici Liu
Available Online December 2019.
DOI
10.2991/mmsta-19.2019.19How to use a DOI?
Keywords
OLED; FDTD; efficiency
Abstract

As a new generation of light source, the organic light-emitting diode (OLED) has many advantages, and Apple has adopted OLEDs display on the latest version of mobile phones. However the low light output rate is an important factor restricting its performance. In this paper, FDTD solutions software is used to design the new OLEDs device structure and carry out optical simulation. The light extraction efficiency (LEE) enhancement is investigated. The results provide theoretical guidance for the preparation of high-efficiency material films OLEDs devices.

Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2019 2nd International Conference on Mathematics, Modeling and Simulation Technologies and Applications (MMSTA 2019)
Series
Advances in Computer Science Research
Publication Date
December 2019
ISBN
10.2991/mmsta-19.2019.19
ISSN
2352-538X
DOI
10.2991/mmsta-19.2019.19How to use a DOI?
Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Weici Liu
AU  - Zhijun Xie
AU  - Ruisheng Liang
PY  - 2019/12
DA  - 2019/12
TI  - Research on Organic Light-emitting Diode
BT  - Proceedings of the 2019 2nd International Conference on Mathematics, Modeling and Simulation Technologies and Applications (MMSTA 2019)
PB  - Atlantis Press
SP  - 88
EP  - 90
SN  - 2352-538X
UR  - https://doi.org/10.2991/mmsta-19.2019.19
DO  - 10.2991/mmsta-19.2019.19
ID  - Liu2019/12
ER  -