Quantum Efficiency Improvement of InGaN Near Ultraviolet LED Design by Genetic Algorithm

Year 2023, Volume: 27 Issue: 1, 94 - 112, 28.02.2023

İrem Alp Bilgehan Barış Öner Esra Eroğlu Yasemin Çiftci

https://doi.org/10.16984/saufenbilder.1051252

Abstract

A near-ultraviolet (367-nm) InGaN light-emitting diode (LED) with 5.75 nm quantum well depth was designed and both internal/external quantum efficiency (IQE/EQE) values were optimized considering the effects of non-radiative recombination rates and possible fabrica-tion errors. Firstly, the IQE of the design was enhanced by a genetic algorithm code which was developed particularly for this study. Distributed Bragg Reflectors and optional ultra-thin 1nm AlN interlayer were also used to increase overall light extraction efficiency. Then, alloy and doping concentration effects on wavelength-dependent optical and structural parameters were analyzed via the CASTEP software package based on density functional theory to pre-sent a more detailed and realistic optimization. The relatively great values of 42.6% IQE and 90.2% LEE were achieved. The final structure with 1.00 mm × 1.00 mm surface area requires only 200 mW input power to operate at 3.75 V.

Keywords

Light emitting diodes (LEDs), UV-LEDs, near UV devices, solid state devices, GaN-based devices

Thanks

The nanostructure quantum electronic simulation nextnano has been employed in the first optimization step on internal quantum efficiency. We would like to thank Dr. Stefan BIRNER and the team for their understanding and contribution in using the package.

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