Understanding Recombination Dynamics from Electroluminescence of Organic Light-Emitting Diodes Using Artificial Intelligence

Citations

SCOPUS

0

초록

Distinguishing exciton and polaron dynamics in the electroluminescence (EL) of organic light-emitting diodes (OLEDs) is difficult since the delayed EL originated from a combination of the excitonic process and slow recombination process. In this work, the recombination dynamics was extracted from the transient EL only via prediction of the recombination coefficient using artificial intelligence (AI). AI model with a high prediction accuracy (R2) of 0.947 successfully analyzed the polaron dynamics of exciplex-forming co-host-based OLEDs. © 2023, John Wiley and Sons Inc. All rights reserved.

키워드

electroluminescenceorganic light-emitting diodesrecombination coefficientartificial intelligence
제목
Understanding Recombination Dynamics from Electroluminescence of Organic Light-Emitting Diodes Using Artificial Intelligence
저자
Kim, J.-M.Lee, K.H.Lee, J.Y.
DOI
10.1002/sdtp.16894
발행일
2023-06
유형
Conference Paper
저널명
Digest of Technical Papers - SID International Symposium
54
1
페이지
1575 ~ 1578