{"title":"Ultrahigh Q Lithium Niobate Resonator With Annular Interdigital Electrode Structure","authors":"Hangbing Xiao;Hui Chen;Yuxin Zhang;Yuxuan Wu;Haopeng Xu;Quan Yuan","doi":"10.1109/JSEN.2025.3548093","DOIUrl":null,"url":null,"abstract":"This article focuses on a lithium niobate (LN) surface acoustic wave (SAW) resonator with an annular interdigital transducer (AIDT) structure. The fundamental working principles and structural characteristics of this resonator are analyzed. Due to the closed and regular form of the electrode configuration, parasitic SAW reflections are eliminated, which is expected to significantly enhance the device’s Q factor. Finite element method (FEM) simulations were conducted to optimize the device’s performance. A high-performance LN SAW resonator was successfully microfabricated using micro-nano processing technology. The fabricated device demonstrated a resonant frequency of 22.22 MHz and an impressive Q factor of 12245, which is 2–3 times higher than that of conventional SAW resonators with interdigital electrodes, while its surface area is only one-third of their size. These results offer significant insights and a valuable reference for the development and application of SAW resonators with annular interdigital electrode structures in future research.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 8","pages":"12820-12827"},"PeriodicalIF":4.3000,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Sensors Journal","FirstCategoryId":"103","ListUrlMain":"https://ieeexplore.ieee.org/document/10923664/","RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
This article focuses on a lithium niobate (LN) surface acoustic wave (SAW) resonator with an annular interdigital transducer (AIDT) structure. The fundamental working principles and structural characteristics of this resonator are analyzed. Due to the closed and regular form of the electrode configuration, parasitic SAW reflections are eliminated, which is expected to significantly enhance the device’s Q factor. Finite element method (FEM) simulations were conducted to optimize the device’s performance. A high-performance LN SAW resonator was successfully microfabricated using micro-nano processing technology. The fabricated device demonstrated a resonant frequency of 22.22 MHz and an impressive Q factor of 12245, which is 2–3 times higher than that of conventional SAW resonators with interdigital electrodes, while its surface area is only one-third of their size. These results offer significant insights and a valuable reference for the development and application of SAW resonators with annular interdigital electrode structures in future research.
期刊介绍:
The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following:
-Sensor Phenomenology, Modelling, and Evaluation
-Sensor Materials, Processing, and Fabrication
-Chemical and Gas Sensors
-Microfluidics and Biosensors
-Optical Sensors
-Physical Sensors: Temperature, Mechanical, Magnetic, and others
-Acoustic and Ultrasonic Sensors
-Sensor Packaging
-Sensor Networks
-Sensor Applications
-Sensor Systems: Signals, Processing, and Interfaces
-Actuators and Sensor Power Systems
-Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting
-Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data)
-Sensors in Industrial Practice