Literature DB >> 27828369

High sensitivity temperature sensor based on cascaded silicon photonic crystal nanobeam cavities.

Yuguang Zhang, Penghao Liu, Senlin Zhang, Weixi Liu, Jingye Chen, Yaocheng Shi.   

Abstract

We present the design, fabrication and characterization of a high sensitivity temperature sensor based on cascaded silicon photonic crystal (PhC) nanobeam cavities. Two PhC nanobeam cavities, one with stack width modulated structure and the other one with parabolic-beam structure are utilized to increase the sensitivity. Most of the light is designed to be confined in the cladding and the core for these two cavities, respectively. Due to the positive thermo-optic (TO) coefficient of silicon and the negative TO coefficient of SU-8 cladding, the wavelength responses red shift for parabolic-beam cavity and blue shift for stack width modulated cavity as the increase of the ambient temperature, respectively. Thus, the sensitivity for the temperature sensor can be improved greatly since the difference in resonant wavelength shifts is detected for the temperature sensing. The experimental results show that the sensitivity of the temperature sensor is about 162.9 pm/°C, which is almost twice as high as that of the conventional silicon based resonator sensors.

Entities:  

Year:  2016        PMID: 27828369     DOI: 10.1364/OE.24.023037

Source DB:  PubMed          Journal:  Opt Express        ISSN: 1094-4087            Impact factor:   3.894


  3 in total

1.  Towards Replacing Resistance Thermometry with Photonic Thermometry.

Authors:  Nikolai Klimov; Thomas Purdy; Zeeshan Ahmed
Journal:  Sens Actuators A Phys       Date:  2017-12-02       Impact factor: 3.407

Review 2.  Applications of Photonic Crystal Nanobeam Cavities for Sensing.

Authors:  Qifeng Qiao; Ji Xia; Chengkuo Lee; Guangya Zhou
Journal:  Micromachines (Basel)       Date:  2018-10-23       Impact factor: 2.891

Review 3.  Photonic Crystal Nanobeam Cavities for Nanoscale Optical Sensing: A Review.

Authors:  Da-Quan Yang; Bing Duan; Xiao Liu; Ai-Qiang Wang; Xiao-Gang Li; Yue-Feng Ji
Journal:  Micromachines (Basel)       Date:  2020-01-09       Impact factor: 2.891

  3 in total

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