Computer aided design of stable and efficient OLEDs

Leanne Paterson, Falk May, Denis Andrienko

Research output: Contribution to journalArticlepeer-review

20 Scopus citations

Abstract

Organic light emitting diodes (OLEDs) offer a unique alternative to traditional display technologies. Tailored device architecture can offer properties such as flexibility and transparency, presenting unparalleled application possibilities. Commercial advancement of OLEDs is highly anticipated, and continued research is vital for improving device efficiency and lifetime. The performance of an OLED relies on an intricate balance between stability, efficiency, operational driving voltage, and color coordinates, with the aim of optimizing these parameters by employing an appropriate material design. Multiscale simulation techniques can aid with the rational design of these materials, in order to overcome existing shortcomings. For example, extensive research has focused on the emissive layer and the obstacles surrounding blue OLEDs, in particular, the trade-off between stability and efficiency, while preserving blue emission. More generally, due to the vast number of contending organic materials and with experimental pre-screening being notoriously time-consuming, a complementary in silico approach can be considerably beneficial. The ultimate goal of simulations is the prediction of device properties from chemical composition, prior to synthesis. However, various challenges must be overcome to bring this to a realization, some of which are discussed in this Perspective. Computer aided design is becoming an essential component for future OLED developments, and with the field shifting toward machine learning based approaches, in silico pre-screening is the future of material design.
Original languageEnglish (US)
Pages (from-to)160901
JournalJournal of Applied Physics
Volume128
Issue number16
DOIs
StatePublished - Oct 28 2020
Externally publishedYes

Fingerprint

Dive into the research topics of 'Computer aided design of stable and efficient OLEDs'. Together they form a unique fingerprint.

Cite this