P‐133: Analysis of Quantum Well‐Stacking Order in Multi‐Quantum Well MicroLEDs

This study investigates the influence of quantum well stacking order on the emission characteristics of InGaN‐based micro‐LEDs using COMSOL Multiphysics simulations. Six configurations of red, green, and blue quantum wells were analyzed under varying current injection conditions. The findings reveal that spatial carrier dynamics and radiative recombination processes are significantly affected by the stacking sequence, with the n‐InGaN‐blue‐green‐red‐p‐InGaN configuration exhibiting the most uniform carrier distribution and highest emission efficiency. These results provide valuable insights for optimizing micro‐LED designs to achieve enhanced performance in nextgeneration optoelectronic devices.

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Publication Details

Journal
SID Symposium Digest of Technical Papers
Published
2025-06-01
DOI
https://doi.org/10.1002/sdtp.18598
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
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article

P‐133: Analysis of Quantum Well‐Stacking Order in Multi‐Quantum Well MicroLEDs

SID Symposium Digest of Technical Papers
Geochemistry and Geologic Mapping
article

P‐133: Analysis of Quantum Well‐Stacking Order in Multi‐Quantum Well MicroLEDs

article en

Abstract

This study investigates the influence of quantum well stacking order on the emission characteristics of InGaN‐based micro‐LEDs using COMSOL Multiphysics simulations. Six configurations of red, green, and blue quantum wells were analyzed under varying current injection conditions. The findings reveal that spatial carrier dynamics and radiative recombination processes are significantly affected by the stacking sequence, with the n‐InGaN‐blue‐green‐red‐p‐InGaN configuration exhibiting the most uniform carrier distribution and highest emission efficiency. These results provide valuable insights for optimizing micro‐LED designs to achieve enhanced performance in nextgeneration optoelectronic devices.

SID Symposium Digest of Technical PapersVol. 56(1)
Southern University of Science and Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 70%
Geochemistry and Geologic Mapping
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