Literature DB >> 23458786

Light extraction efficiency analysis of GaN-based light-emitting diodes with nanopatterned sapphire substrates.

Jui-Wen Pan1, Pei-Jung Tsai, Kao-Der Chang, Yung-Yuan Chang.   

Abstract

In this paper, we propose a method to analyze the light extraction efficiency (LEE) enhancement of a nanopatterned sapphire substrates (NPSS) light-emitting diode (LED) by comparing wave optics software with ray optics software. Finite-difference time-domain (FDTD) simulations represent the wave optics software and Light Tools (LTs) simulations represent the ray optics software. First, we find the trends of and an optimal solution for the LEE enhancement when the 2D-FDTD simulations are used to save on simulation time and computational memory. The rigorous coupled-wave analysis method is utilized to explain the trend we get from the 2D-FDTD algorithm. The optimal solution is then applied in 3D-FDTD and LTs simulations. The results are similar and the difference in LEE enhancement between the two simulations does not exceed 8.5% in the small LED chip area. More than 10(4) times computational memory is saved during the LTs simulation in comparison to the 3D-FDTD simulation. Moreover, LEE enhancement from the side of the LED can be obtained in the LTs simulation. An actual-size NPSS LED is simulated using the LTs. The results show a more than 307% improvement in the total LEE enhancement of the NPSS LED with the optimal solution compared to the conventional LED.

Entities:  

Year:  2013        PMID: 23458786     DOI: 10.1364/AO.52.001358

Source DB:  PubMed          Journal:  Appl Opt        ISSN: 1559-128X            Impact factor:   1.980


  2 in total

1.  Light-output enhancement of GaN-based light-emitting diodes with three-dimensional backside reflectors patterned by microscale cone array.

Authors:  Huamao Huang; Jinyong Hu; Hong Wang
Journal:  ScientificWorldJournal       Date:  2014-07-15

2.  Light Extraction Analysis of AlGaInP Based Red and GaN Based Blue/Green Flip-Chip Micro-LEDs Using the Monte Carlo Ray Tracing Method.

Authors:  Shuyu Lan; Hui Wan; Jie Zhao; Shengjun Zhou
Journal:  Micromachines (Basel)       Date:  2019-12-07       Impact factor: 2.891

  2 in total

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