A Particle Swarm Optimization Algorithm Based Parameters Extraction Technique to Model Organic Light-Emitting Diode for Flexible Displays

In this study, an automatic parameter extraction algorithm using particle swarm optimization (PSO) is introduced to model organic light-emitting diode (OLED). It is demonstrated both DC and AC characteristics are modeled with superior efficiency and accuracy when validated against experimental data and benchmarked against existing methodologies. This approach streamlines the parameter extraction process for rapid modeling of OLEDs with high precision, contributing to ongoing efforts in OLED research and development.

Authors

Institutions

Publication Details

Published
2025-03-09
DOI
https://doi.org/10.1109/edtm61175.2025.11040870
Primary Topic
Organic Light-Emitting Diodes Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Particle Swarm Optimization Algorithm Based Parameters Extraction Technique to Model Organic Light-Emitting Diode for Flexible Displays

Gufeng He, Wei Tang, Jiachen Kang, Jianhui Wanghe
Organic Light-Emitting Diodes Research
article

A Particle Swarm Optimization Algorithm Based Parameters Extraction Technique to Model Organic Light-Emitting Diode for Flexible Displays

Gufeng He, Wei Tang, Jiachen Kang, Jianhui Wanghe
article en

Abstract

In this study, an automatic parameter extraction algorithm using particle swarm optimization (PSO) is introduced to model organic light-emitting diode (OLED). It is demonstrated both DC and AC characteristics are modeled with superior efficiency and accuracy when validated against experimental data and benchmarked against existing methodologies. This approach streamlines the parameter extraction process for rapid modeling of OLEDs with high precision, contributing to ongoing efforts in OLED research and development.

Shanghai Jiao Tong University (CN)
Affordable and clean energy
Openalex Percentile: Top 87%
Organic Light-Emitting Diodes Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.