Efficiency and Uniformity Improvement of Micro-LED-Based Diffractive Waveguide Using Neural Network

In this paper, a cascaded multilayer perceptron was proposed to optimize the diffraction efficiency and uniformity of diffractive waveguide. Such a method is much faster than rigorous coupled wave analysis (RCWA) and ray tracing. After optimization, the exit pupil uniformity is increased from 0.36% to 97% a prediction accuracy exceeding 95% are realized. The proposed method is applicable to various types of gratings.

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Publication Details

Published
2024-11-18
DOI
https://doi.org/10.1109/sslchinaifws64644.2024.10835396
Primary Topic
Semiconductor Lasers and Optical Devices
Type
article
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article

Efficiency and Uniformity Improvement of Micro-LED-Based Diffractive Waveguide Using Neural Network

Luqiao Yin, Gaoyu Dai, Xiaolong Zhang, Jianhua Zhang
Semiconductor Lasers and Optical Devices
article

Efficiency and Uniformity Improvement of Micro-LED-Based Diffractive Waveguide Using Neural Network

Luqiao Yin, Gaoyu Dai, Xiaolong Zhang, Jianhua Zhang
article en

Abstract

In this paper, a cascaded multilayer perceptron was proposed to optimize the diffraction efficiency and uniformity of diffractive waveguide. Such a method is much faster than rigorous coupled wave analysis (RCWA) and ray tracing. After optimization, the exit pupil uniformity is increased from 0.36% to 97% a prediction accuracy exceeding 95% are realized. The proposed method is applicable to various types of gratings.

Shanghai University (CN)
Affordable and clean energy
Openalex Percentile: Top 76%
Semiconductor Lasers and Optical Devices
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