Dresden 2020 – wissenschaftliches Programm
Die DPG-Frühjahrstagung in Dresden musste abgesagt werden! Lesen Sie mehr ...
Bereiche | Tage | Auswahl | Suche | Aktualisierungen | Downloads | Hilfe
HL: Fachverband Halbleiterphysik
HL 8: Nitrides: Devices
HL 8.5: Vortrag
Montag, 16. März 2020, 10:30–10:45, POT 51
Speeding up LED design using experimental device data in the nextnano software — •Maria Cecilia da Silva Figueira, Alex Trellakis, Takuma Sato, Carola Burkl, and Stefan Birner — nextnano GmbH, Lichtenbergstr. 8, 85748 Garching b. München, Germany
We present a simple but a very efficient way to speed up the design or optimization of new devices, by importing experimental data of a previous design or prototype directly into a simulator.
The commercial nextnano software is a semiconductor nanodevice simulation tool that has been developed for predicting and understanding a wide range of electronic and optical properties of quantum structures such as internal quantum efficiency (IQE) or the emission spectrum. A very valuable feature of nextnano is the possibility to include experimental profiles for simplifying the process of writing the required input files for the new structure.
As a case study, an UVB LED structure developed at RIKEN was simulated after importing the doping profiles measured with SIMS into the nextnano software. A methodology was developed in order to identify the best characteristics of a new layer in the structure (“Final Barrier”), simulating strain and self-consistent Schrödinger-Poisson-Current equations. As result of the optimization process the internal quantum efficiency was estimated around 66% for an AlGaN Final Barrier with molar fraction 14% of Al content, thickness between 6 to 8 nm, operating at 6.7 V.