Year
Month
(Peer-Reviewed) Ferroelectric domain engineering of lithium niobate
Jackson J. Chakkoria ¹ ², Aditya Dubey ¹ ², Arnan Mitchell ¹ ², Andreas Boes ² ³ ⁴
¹ Integrated Photonics and Applications Centre, School of Engineering, RMIT University, Melbourne, VIC 3001, Australia
² ARC Centre of Excellence in Optical Microcombs for Breakthrough Science (COMBS)
³ School of Electrical and Mechanical Engineering, The University of Adelaide, Adelaide, SA 5005, Australia
⁴ Institute for Photonics and Advanced Sensing, The University of Adelaide, Adelaide, SA 5005, Australia
Opto-Electronic Advances, 2025-01-03
Abstract

Lithium niobate (LN) has remained at the forefront of academic research and industrial applications due to its rich material properties, which include second-order nonlinear optic, electro-optic, and piezoelectric properties. A further aspect of LN’s versatility stems from the ability to engineer ferroelectric domains with micro and even nano-scale precision in LN, which provides an additional degree of freedom to design acoustic and optical devices with improved performance and is only possible in a handful of other materials.

In this review paper, we provide an overview of the domain engineering techniques developed for LN, their principles, and the typical domain size and pattern uniformity they provide, which is important for devices that require high-resolution domain patterns with good reproducibility. It also highlights each technique's benefits, limitations, and adaptability for an application, along with possible improvements and future advancement prospects.

Further, the review provides a brief overview of domain visualization methods, which is crucial to gain insights into domain quality/shape and explores the adaptability of the proposed domain engineering methodologies for the emerging thin-film lithium niobate on an insulator platform, which creates opportunities for developing the next generation of compact and scalable photonic integrated circuits and high frequency acoustic devices.
Ferroelectric domain engineering of lithium niobate_1
Ferroelectric domain engineering of lithium niobate_2
Ferroelectric domain engineering of lithium niobate_3
Ferroelectric domain engineering of lithium niobate_4
  • AI-powered nonlinear optical imaging reveals protein spatial homogenization as an indicator of impaired bone quality in type 2 diabetes
  • Bowen Zhang, Jiangbo Pu, Tao Hu, Junjie Zeng, Han Zhang, Zemeng Chen, Xiang Ji, Shuhua Yue, Lin Z. Li, Ting Li
  • Opto-Electronic Advances
  • 2026-05-15
  • Highly sensitive SWCNT-based pyroelectric phototransistors for broadband room temperature infrared detection
  • Svetlana I. Serebrennikova, Daria S. Kopylova, Yuriy G. Gladush, Sakellaris Mailis, Nikita E. Gordeev, Aliya R. Vildanova, Aleksandr V. Averchenko, Sergey S. Zhukov, Dmitry V. Krasnikov, Albert G. Nasibulin
  • Opto-Electronic Advances
  • 2026-05-15
  • Active retinal projection augmented reality display via pixel-to-pixel collimation
  • Xiang Zhang, Yuanlong Huang, Weiyao Fan, Enguo Chen, Jiajun Luo
  • Opto-Electronic Advances
  • 2026-05-15
  • Massively parallel and programmable photonic differential equation solver
  • Jiahao Wang, Wen Chen, Zhou Zhou, Dongyu Hu, Zile Li, Peng Chen, Yan-qing Lu, Shuang Zhang, Cheng-Wei Qiu, Shaohua Yu, Guoxing Zheng
  • Opto-Electronic Advances
  • 2026-05-15
  • Femtosecond laser rapid customization of high-performance anti-reflection windows
  • Yulong Ding, Xiang Jiang, Cong Wang, Xianshi Jia, Linpeng Liu, Weina Han, Zheng Gao, Shiyu Wang, Nai Lin, Dejin Yan, Ji'an Duan
  • Opto-Electronic Science
  • 2026-04-23
  • Ppt-level volatile organic compounds detection via microsecond-pulse-enhanced mid-infrared photoacoustic
  • Senyu Wang, Liang Zhao, Hongyu Luo, Xiangyu Zhao, Jianfeng Li, Wei Wang, Hao Lei, Mingrui Jiang, Jinlong Wan, Binxing Zhao, Bincheng Li, Yong Liu
  • Opto-Electronic Science
  • 2026-04-23
  • Polarization-guided diffusion prior for eyeglass reflection removal
  • Yating Chen, Liangcai Cao
  • Opto-Electronic Advances
  • 2026-04-17
  • AI-assisted metaphotonics
  • Minsung Kang, Seokju Choi, Kaixi Fu, Xiaoyuan Liu, Zhun Wei, Lei Jin, Hao Wang, Olivier J. F. Martin, Joel K. W. Yang, Sunae So, Trevon Badloe
  • Opto-Electronic Advances
  • 2026-04-17
  • Terahertz imaging technology: progress and applications
  • Yuyuan Tian, Xiaoyin Chen, Zhuocheng Zhang, Qianze Yan, Yiming Liu, Chengliang Deng, Min Wan, Jiang Li, Xiaoqiuyan Zhang, Lu Rong, Elizaveta Tsiplakova, Nikolay Petrov, Xinke Wang, Liguo Zhu, Min Hu, Yan Zhang
  • Opto-Electronic Technology
  • 2026-03-30
  • Interpretable low-dose CT enhancement via multi-Gaussian cluster variance reduction
  • Xiaofeng Zhang, Yilan Zhu, Yongsheng Huang, Jielong Yang, Zhili Wang, Kai Zhang, Si Chen, Linbo Liu, Xin Ge
  • Opto-Electronic Science
  • 2026-03-25
  • Polygonal generalized perfect spatiotemporal optical vortices
  • Shuoshuo Zhang, Zhangyu Zhou, Qianyi Wei, Zhongsheng Man, Changjun Min, Wending Zhang, Yuquan Zhang, Ting Mei, Xiaocong Yuan
  • Opto-Electronic Science
  • 2026-03-25



  • Direct detection with an optimal transfer function: toward the electrical spectral efficiency of coherent homodyne detection                                Smart reconfigurable metadevices made of shape memory alloy metamaterials
    About
    |
    Contact
    |
    Copyright © PubCard