Performance Analysis of DAST Material Assisted Electro-optically Tuned Bloch Surface Wave Sensor

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    In this manuscript, a 4-N, N-dimethylamino-4′ -N′ -methyl-stilbazolium tosylate (DAST) material assisted electrooptically tuned Bloch Surface Wave Sensor is proposed. The structure is designed using a one-dimensional photonic crystal (1D-PhC) structure. A top defective layer of DAST as an electro-optic material is used. The analysis shows that by illuminating the device with poly-chromatic light at an incident angle of 45.11 results in Bloch mode excitation at a 632.8nm operating wavelength. The analytical results also demonstrate the post fabrication 47 nm BSW wavelength tuning by applying only ±5 V potential. The structure also exhibits both wavelength stability (at varying angle) and angular stability (at varying wavelength). Moreover, the structure exhibits 105.71nm/RIU sensitivity at 0V applied bias voltage having very low FWHM of <1nm. Thus, the proposed design possesses the advantage in terms of low voltage wavelength tuning, stable response, easy fabrication, and integration capability in integrated circuits.

    Original languageEnglish
    Title of host publicationOptoelectronic Devices and Integration XI
    EditorsXuping Zhang, Baojun Li, Changyuan Yu, Xinliang Zhang
    PublisherSPIE
    ISBN (Electronic)9781510656949
    DOIs
    Publication statusPublished - 2022
    EventOptoelectronic Devices and Integration XI 2022 - Virtual, Online, China
    Duration: 05-12-202211-12-2022

    Publication series

    NameProceedings of SPIE - The International Society for Optical Engineering
    Volume12314
    ISSN (Print)0277-786X
    ISSN (Electronic)1996-756X

    Conference

    ConferenceOptoelectronic Devices and Integration XI 2022
    Country/TerritoryChina
    CityVirtual, Online
    Period05-12-2211-12-22

    All Science Journal Classification (ASJC) codes

    • Electronic, Optical and Magnetic Materials
    • Condensed Matter Physics
    • Computer Science Applications
    • Applied Mathematics
    • Electrical and Electronic Engineering

    Fingerprint

    Dive into the research topics of 'Performance Analysis of DAST Material Assisted Electro-optically Tuned Bloch Surface Wave Sensor'. Together they form a unique fingerprint.

    Cite this