Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Search research articles

Related Experiment Video

Updated: Nov 17, 2025

Characterization of SiN Integrated Optical Phased Arrays on a Wafer-Scale Test Station

Characterization of SiN Integrated Optical Phased Arrays on a Wafer-Scale Test Station

Published on: April 1, 2020

Optimization of the silicon-based aperiodic optical phased array antenna.

Arash Kazemian, Pengdi Wang, Yating Zhuang

|February 12, 2021

Summary

This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Multi-NA metalens array for compact high-NA microscopy.

Optics letters·2026

Same author

High-numerical-aperture and high-efficiency polarization-based metalenses with pitch size control utilizing silicon-rich nitride.

Optics letters·2025

Same author

Photonic integrated circuit with multiple waveguide layers for broadband high-efficient 3D OPA.

Optics letters·2023

Same author

TiO<sub>2</sub>@Sn<sub>3</sub>O<sub>4</sub> nanorods vertically aligned on carbon fiber papers for enhanced photoelectrochemical performance.

RSC advances·2022

Same author

Phase-combining unit for aliasing suppression in an optical phased array.

Optics letters·2022

Same author

Optimization of aperiodic 3D optical phased arrays based on multilayer Si<sub>3</sub>N<sub>4</sub>/SiO<sub>2</sub> platforms.

Applied optics·2021

This study optimizes silicon optical phased arrays (OPAs) for LiDAR using a genetic algorithm to reduce unwanted sidelobes. The results show a unique mainlobe behavior in aperiodic arrays, offering a new pathway for OPA optimization.

Area of Science:

Photonics and Optical Engineering
Machine Learning Applications
Materials Science

Background:

Beam engineering is crucial for Light Detection and Ranging (LiDAR) systems.
Optical Phased Arrays (OPAs) offer precise beam control capabilities.
Aperiodic array designs present unique challenges and opportunities in beam shaping.

Purpose of the Study:

To optimize the beam profile of silicon optical phased arrays (OPAs) for enhanced LiDAR performance.
To suppress sidelobes in the far-field radiation pattern of aperiodic OPAs.
To investigate the relationship between mainlobe position and wavelength in optimized 2D aperiodic arrays.

Main Methods:

Utilized a machine-learning-based genetic algorithm for optimization.

More Related Videos

Design, Fabrication, and Experimental Characterization of Plasmonic Photoconductive Terahertz Emitters

Design, Fabrication, and Experimental Characterization of Plasmonic Photoconductive Terahertz Emitters

Published on: July 8, 2013

Measurement of Quantum Interference in a Silicon Ring Resonator Photon Source

Measurement of Quantum Interference in a Silicon Ring Resonator Photon Source

Published on: April 4, 2017

Related Experiment Videos

Last Updated: Nov 17, 2025

Characterization of SiN Integrated Optical Phased Arrays on a Wafer-Scale Test Station

Characterization of SiN Integrated Optical Phased Arrays on a Wafer-Scale Test Station

Published on: April 1, 2020

Design, Fabrication, and Experimental Characterization of Plasmonic Photoconductive Terahertz Emitters

Design, Fabrication, and Experimental Characterization of Plasmonic Photoconductive Terahertz Emitters

Published on: July 8, 2013

Measurement of Quantum Interference in a Silicon Ring Resonator Photon Source

Measurement of Quantum Interference in a Silicon Ring Resonator Photon Source

Published on: April 4, 2017

Simulated and analyzed aperiodic array distributions.

Investigated the impact of fabrication errors on side mode suppression ratio.

Main Results:

Successfully suppressed sidelobes in the far-field pattern of aperiodic arrays.
Observed a distinct mainlobe position versus wavelength relationship, differing from previous studies.
Quantified the effect of fabrication errors on the side mode suppression ratio.

Conclusions:

Developed an effective method for optimizing random distributed OPAs within a practical timeframe.
The findings provide a pathway for improved beam control in LiDAR and other optical systems.
The study highlights the potential of machine learning in advanced optical array design.