[OLED6-4(Invited)] Device Simulation for Machine-Learning Studies of Design and Characterization of Organic Light-Emitting Diodes | Proceedings of the International Display Workshops Volume 31 (IDW '24)

Proceedings of the International Display Workshops Volume 31 (IDW '24)

Dec 4 - Dec 6, 2024Sapporo Convention Center

Back

Proceedings of the International Display Workshops Volume 31 (IDW '24)

Dec 4 - Dec 6, 2024Sapporo Convention Center

[OLED6-4(Invited)]Device Simulation for Machine-Learning Studies of Design and Characterization of Organic Light-Emitting Diodes

Atsushi Okada¹, Takayuki Kinoshita¹, *Hiroyoshi Naito^1,2(1. Osaka Metropolitan University (Japan), 2. Ritsumeikan University (Japan))

https://doi.org/10.36463/idw.2024.0639

Download PDF

Keywords:

device simulation,organic light emitting-diodes,quantum-dots light emitting diodes,impedance spectroscopy,counterfactual machine leaning

The paper explores the use of device simulation data for developing machine learning models to design and characterize organic light-emitting diodes (OLEDs) and quantum dot light-emitting diodes (QLEDs). This method significantly reduces the time needed for data accumulation while effectively determining electronic transport properties and optimizing device performance.

Back