Premium
19‐4: Boosting OLED Performance with Ab‐initio Modeling of Roll‐off and Quenching Processes
Author(s) -
Symalla Franz,
Heidrich Shahriar,
Kubillus Maximilian,
Strunk Timo,
Neumann Tobias,
Wenzel Wolfgang
Publication year - 2019
Publication title -
sid symposium digest of technical papers
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.351
H-Index - 44
eISSN - 2168-0159
pISSN - 0097-966X
DOI - 10.1002/sdtp.12905
Subject(s) - computation , boosting (machine learning) , ab initio , quenching (fluorescence) , oled , computer science , materials science , computational science , experimental research , physics , nanotechnology , artificial intelligence , algorithm , optics , mathematics , quantum mechanics , fluorescence , layer (electronics) , mathematics education
Device‐scale computer simulations support experimental R&D in the identification of microscopic bottlenecks in device performance. We present full ab‐initio computation of the parameters required for simulation of roll‐off and quenching in OLED stacks and illustrate how strategies to improve device design can be derived from computer simulations without relying on experimental input.