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Identification of OLED Degradation Scenarios by Kinetic Monte Carlo Simulations of Lifetime Experiments
We show how three-dimensions kinetic Monte Carlo simulations can be used to carry out an operational lifetime study of thermally activated delayed fluorescence (TADF) organic light-emitting diodes (OLEDs) and to deduce the sensitivity to various degradation scenarios. The approach is demonstrated fo...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8828587/ https://www.ncbi.nlm.nih.gov/pubmed/35155385 http://dx.doi.org/10.3389/fchem.2021.823210 |
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author | Hauenstein, Christoph Gottardi, Stefano Torun, Engin Coehoorn, Reinder van Eersel, Harm |
author_facet | Hauenstein, Christoph Gottardi, Stefano Torun, Engin Coehoorn, Reinder van Eersel, Harm |
author_sort | Hauenstein, Christoph |
collection | PubMed |
description | We show how three-dimensions kinetic Monte Carlo simulations can be used to carry out an operational lifetime study of thermally activated delayed fluorescence (TADF) organic light-emitting diodes (OLEDs) and to deduce the sensitivity to various degradation scenarios. The approach is demonstrated for an experimentally well-characterized efficient green-emitting device. The simulation workflow includes an equilibration phase, an equilibrated pristine state phase and a degradation phase. Acceleration of the simulations by extrapolation from simulations at large current densities makes the simulation time realistically feasible. Such a procedure is also often followed in experimental studies. Degradation is assumed to be triggered by exciton-polaron quenching and exciton-exciton annihilation processes. A comparison of the simulated and experimental time-dependence of the luminance decay provides the probability that a degradation-triggering event leads to the formation of a degraded molecule. For the TADF OLED that has been studied, this parameter is only weakly dependent on the assumed scenario, provided that the degraded molecules are assumed to form trap sites, and is found to be [Formula: see text] . The approach is expected to enable systematic in silico studies of the operational lifetime and its sensitivity to the material composition, layer structure, charge carrier balance, and the use of refined device principles such as hyperfluorescence. |
format | Online Article Text |
id | pubmed-8828587 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-88285872022-02-11 Identification of OLED Degradation Scenarios by Kinetic Monte Carlo Simulations of Lifetime Experiments Hauenstein, Christoph Gottardi, Stefano Torun, Engin Coehoorn, Reinder van Eersel, Harm Front Chem Chemistry We show how three-dimensions kinetic Monte Carlo simulations can be used to carry out an operational lifetime study of thermally activated delayed fluorescence (TADF) organic light-emitting diodes (OLEDs) and to deduce the sensitivity to various degradation scenarios. The approach is demonstrated for an experimentally well-characterized efficient green-emitting device. The simulation workflow includes an equilibration phase, an equilibrated pristine state phase and a degradation phase. Acceleration of the simulations by extrapolation from simulations at large current densities makes the simulation time realistically feasible. Such a procedure is also often followed in experimental studies. Degradation is assumed to be triggered by exciton-polaron quenching and exciton-exciton annihilation processes. A comparison of the simulated and experimental time-dependence of the luminance decay provides the probability that a degradation-triggering event leads to the formation of a degraded molecule. For the TADF OLED that has been studied, this parameter is only weakly dependent on the assumed scenario, provided that the degraded molecules are assumed to form trap sites, and is found to be [Formula: see text] . The approach is expected to enable systematic in silico studies of the operational lifetime and its sensitivity to the material composition, layer structure, charge carrier balance, and the use of refined device principles such as hyperfluorescence. Frontiers Media S.A. 2022-01-27 /pmc/articles/PMC8828587/ /pubmed/35155385 http://dx.doi.org/10.3389/fchem.2021.823210 Text en Copyright © 2022 Hauenstein, Gottardi, Torun, Coehoorn and van Eersel. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Chemistry Hauenstein, Christoph Gottardi, Stefano Torun, Engin Coehoorn, Reinder van Eersel, Harm Identification of OLED Degradation Scenarios by Kinetic Monte Carlo Simulations of Lifetime Experiments |
title | Identification of OLED Degradation Scenarios by Kinetic Monte Carlo Simulations of Lifetime Experiments |
title_full | Identification of OLED Degradation Scenarios by Kinetic Monte Carlo Simulations of Lifetime Experiments |
title_fullStr | Identification of OLED Degradation Scenarios by Kinetic Monte Carlo Simulations of Lifetime Experiments |
title_full_unstemmed | Identification of OLED Degradation Scenarios by Kinetic Monte Carlo Simulations of Lifetime Experiments |
title_short | Identification of OLED Degradation Scenarios by Kinetic Monte Carlo Simulations of Lifetime Experiments |
title_sort | identification of oled degradation scenarios by kinetic monte carlo simulations of lifetime experiments |
topic | Chemistry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8828587/ https://www.ncbi.nlm.nih.gov/pubmed/35155385 http://dx.doi.org/10.3389/fchem.2021.823210 |
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