(Peer-Reviewed) Inverse design for material anisotropy and its application for a compact X-cut TFLN on-chip wavelength demultiplexer
Jiangbo Lyu 吕江泊 ¹ ², Tao Zhu 朱涛 ¹ ², Yan Zhou 周延 ¹, Zhenmin Chen 陈震旻 ¹, Yazhi Pi 皮雅稚 ¹, Zhengtong Liu 刘政通 ¹, Xiaochuan Xu 徐小川 ², Ke Xu 徐科 ², Xu Ma 马旭 ³, Lei Wang 王磊 ¹, Zizheng Cao 曹子峥 ¹, Shaohua Yu 余少华 ¹
¹ Peng Cheng Laboratory, Shenzhen 518055, China
中国 深圳 鹏城实验室
² Department of Electronic and Information Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China
中国 深圳 哈尔滨工业大学(深圳)电子与信息工程学院
³ Key Laboratory of Photoelectronic Imaging Technology and System of Ministry of Education of China, School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China
中国 北京 北京理工大学光电学院 光电成像技术与系统教育部重点实验室
Opto-Electronic Science
, 2024-01-09
Abstract
Inverse design focuses on identifying photonic structures to optimize the performance of photonic devices. Conventional scalar-based inverse design approaches are insufficient to design photonic devices of anisotropic materials such as lithium niobate (LN). To the best of our knowledge, this work proposes for the first time the inverse design method for anisotropic materials to optimize the structure of anisotropic-material based photonics devices.
Specifically, the orientation dependent properties of anisotropic materials are included in the adjoint method, which provides a more precise prediction of light propagation within such materials. The proposed method is used to design ultra-compact wavelength division demultiplexers in the X-cut thin-film lithium niobate (TFLN) platform.
By benchmarking the device performances of our method with those of classical scalar-based inverse design, we demonstrate that this method properly addresses the critical issue of material anisotropy in the X-cut TFLN platform.
This proposed method fills the gap of inverse design of anisotropic materials based photonic devices, which finds prominent applications in TFLN platforms and other anisotropic-material based photonic integration platforms.
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