Machine Learning Inspired Design of Complex-Shaped GaN Subwavelength Grating Reflectors

Machine Learning Inspired Design of Complex-Shaped GaN Subwavelength Grating Reflectors

We present the machine learning inspired design of two types of GaN zero contrast subwavelength gratings (SWGs): a polynomial-shaped grating and, for reference, a conventional rectangular grating, using the differential evolution algorithm to optimize the designs for high broadband reflectivity and...

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Bibliographic Details
Main Authors: Onoriode N. Ogidi-Ekoko, Wen Liang, Haotian Xue, Nelson Tansu
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Photonics Journal
Subjects:
Machine learning
inverse design
differential evolution algorithm
subwavelength grating
GaN
VCSELs
Online Access:https://ieeexplore.ieee.org/document/9311194/

Internet

https://ieeexplore.ieee.org/document/9311194/

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