P‐105: Understanding Recombination Dynamics from Electroluminescence of Organic Light‐Emitting Diodes Using Artificial Intelligence

Abstract

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 (R 2 ) of 0.947 successfully analyzed the polaron dynamics of exciplex‐forming co‐host‐based OLEDs.