Abstract:A multi-scale optical model for organic light-emitting devices containing scattering layers is presented. This model describes the radiation of embedded oscillating dipoles and scattering from spherical particles. After successful model validation with experiments on a top-emitting white OLED, we show how this tool can be used for optimization with specific targets.
“…The scattering layer is then treated as an incoherent layer in a net radiation algorithm considering the propagation through a stack of multiple coherent and incoherent layers. A good concordance between simulation and experimental results was observed [10]. The obvious question is if for the propagation through the scattering layer a ray optics treatment is justied or if wave optics calculations are necessary.…”
Section: Discussion and Related Worksupporting
confidence: 63%
“…Inside the substrate, the propagation of light can be modelled by a net distribution of power over the propagation angles and polarizations. The treatment is similar to the one presented in [10]. To achieve a discrete notation for the radiation distributions, we introduce a regular grid of N α + 1 polar angles between 0 and π/2:…”
Section: Light Propagation In the Substrate: Ray Optics Modelmentioning
confidence: 99%
“…< ρ Nsim . Then, we use expression (10) to extrapolate the initial substrate power resulting from these simulations to ρ = ∞. For the angle dependent extrapolated initial extraction pattern, we can then estimate In other words, the extrapolation is done only for the integrated power ux into the substrate, whereas the angular distribution is taken from the simulation result for the maximal number of particles, which is then scaled to the extrapolated power ux.…”
Section: Extrapolation To Innite Scattering Layersmentioning
confidence: 99%
“…One reason is the broad range of the involved length scales, that reach from the particle diameters and layer thicknesses in the nanometer scale, over the decay length of the waveguide modes that is typically in the micron scale to the substrate thickness in the millimeter scale. Previous studies have either assumed a microscopic approach [7,9] or employed a ray optics model for the scattering layer [10]. In either case, certain assumptions have to be made on the microscopic or the macroscopic aspects of light propagation.…”
We present a numerical strategy for the accurate simulation of light extraction from organic light emitting diodes (OLEDs) comprising an internal nano-particle based scattering layer. On the one hand, the light emission and propagation through the OLED thin lm system (including the scattering layer) is treated by means of rigorous wave optics calculations using the T-matrix formalism. On the other hand, the propagation through the substrate is modelled in a ray optics approach. The results from the wave optics calculations enter in terms of the initial substrate radiation pattern and the bidirectional reectivity distribution (BRDF) of the OLED stack with scattering layer. In order to correct for the truncation error due to a nite number of particles in the simulations, we extrapolate the results to innitely extended scattering layers. As an application example, we estimate the optimal particle lling fraction for an internal scattering layer in a realistic OLED geometry. The presented treatment is designed to emerge from electromagnetic theory with as few additional assumptions as possible. It could thus serve as a baseline to validate faster but approximate simulation approaches.
“…The scattering layer is then treated as an incoherent layer in a net radiation algorithm considering the propagation through a stack of multiple coherent and incoherent layers. A good concordance between simulation and experimental results was observed [10]. The obvious question is if for the propagation through the scattering layer a ray optics treatment is justied or if wave optics calculations are necessary.…”
Section: Discussion and Related Worksupporting
confidence: 63%
“…Inside the substrate, the propagation of light can be modelled by a net distribution of power over the propagation angles and polarizations. The treatment is similar to the one presented in [10]. To achieve a discrete notation for the radiation distributions, we introduce a regular grid of N α + 1 polar angles between 0 and π/2:…”
Section: Light Propagation In the Substrate: Ray Optics Modelmentioning
confidence: 99%
“…< ρ Nsim . Then, we use expression (10) to extrapolate the initial substrate power resulting from these simulations to ρ = ∞. For the angle dependent extrapolated initial extraction pattern, we can then estimate In other words, the extrapolation is done only for the integrated power ux into the substrate, whereas the angular distribution is taken from the simulation result for the maximal number of particles, which is then scaled to the extrapolated power ux.…”
Section: Extrapolation To Innite Scattering Layersmentioning
confidence: 99%
“…One reason is the broad range of the involved length scales, that reach from the particle diameters and layer thicknesses in the nanometer scale, over the decay length of the waveguide modes that is typically in the micron scale to the substrate thickness in the millimeter scale. Previous studies have either assumed a microscopic approach [7,9] or employed a ray optics model for the scattering layer [10]. In either case, certain assumptions have to be made on the microscopic or the macroscopic aspects of light propagation.…”
We present a numerical strategy for the accurate simulation of light extraction from organic light emitting diodes (OLEDs) comprising an internal nano-particle based scattering layer. On the one hand, the light emission and propagation through the OLED thin lm system (including the scattering layer) is treated by means of rigorous wave optics calculations using the T-matrix formalism. On the other hand, the propagation through the substrate is modelled in a ray optics approach. The results from the wave optics calculations enter in terms of the initial substrate radiation pattern and the bidirectional reectivity distribution (BRDF) of the OLED stack with scattering layer. In order to correct for the truncation error due to a nite number of particles in the simulations, we extrapolate the results to innitely extended scattering layers. As an application example, we estimate the optimal particle lling fraction for an internal scattering layer in a realistic OLED geometry. The presented treatment is designed to emerge from electromagnetic theory with as few additional assumptions as possible. It could thus serve as a baseline to validate faster but approximate simulation approaches.
“…In the following we use our experimental results to qualitatively validate the down-conversion model embedded in our commercial OLED/OPV simulation software Setfos. [5] In addition to the electro-optical simulation of complex thin film devices [6][7][8], the tool offers a 2D ray-tracing engine to model scattering, absorption and re-emission by nanoparticles in a QD film. Given a set of parameters describing the QD film, the software computes the absorption and transmission properties as a function of the angle.…”
Section: Modeling Of Qd Down-conversion and Scattering Events In A Ramentioning
Quantum dot (QD) enhanced LCDs are among today’s best‐in‐class displays exhibiting high brightness and large color gamut. In this presentation we focus on the underlying key mechanism of the embedded QD films, the down‐conversion of light, and explore the optical characteristics of a state‐of‐the‐art perovskite QD film by measuring its down‐converting properties as a function of the viewing angle. The good agreement of the experimental results with simulations of the QD film indicates that computer aided parameter optimization can be key tool for engineering QD displays.
Quantum dot (QD) enhanced LCDs are among today’s best‐in‐class displays exhibiting high brightness and large color gamut. In this presentation we focus on the underlying key mechanism of the embedded QD films, the down‐conversion of light, and explore the optical characteristics of a state‐of‐the‐art perovskite QD film by measuring its down‐converting properties as a function of the viewing angle. The good agreement of the experimental results with simulations of the QD film indicates that computer aided parameter optimization can be key tool for engineering QD displays.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.