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Revealing the Noise Dependent Sensitivity of a Junctionless FinFET-Based Hydrogen Sensor with Ferroelectric Gate Stack

  • Navneet Gandhi
  • , Sunil Rathore
  • , Rajeewa Kumar Jaisawal
  • , P. N. Kondekar
  • , Naveen Kumar
  • , Ankit Dixit
  • , Vihar Georgiev
  • , Navjeet Bagga*
  • *Corresponding author for this work

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

    Abstract

    This paper reveals the role of Flicker (1/f) Noise and process variations (i.e., random dopant fluctuation, RDF) on the sensitivity of the Junctionless FinFET-based hydrogen gas (H2) sensor with a ferroelectric (FE) gate stack, which offers the privilege of Negative Capacitance (NC) effect. In general, the FE-stack has two possible configurations, i.e., MFMIS and MFIS. Therefore, the sustainability and selectivity of both configurations under the influence of Noise on the sensor's sensitivity have been thoroughly investigated using well-calibrated TCAD models. With varying H2 concentrations (in ppm) and FE thicknesses in both configurations, the acquired electrical characteristics, sensing metrics, and noise spectral density (SIDS) reveal that the MFMIS is an appropriate choice for realizing a FET -based sensor.

    Original languageEnglish
    Title of host publication2024 International Conference on Simulation of Semiconductor Processes and Devices, SISPAD 2024
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9798331516352
    DOIs
    Publication statusPublished - 2024
    Event2024 International Conference on Simulation of Semiconductor Processes and Devices, SISPAD 2024 - San Jose, United States
    Duration: 25-09-202427-09-2024

    Publication series

    NameInternational Conference on Simulation of Semiconductor Processes and Devices, SISPAD
    ISSN (Print)1946-1569
    ISSN (Electronic)1946-1577

    Conference

    Conference2024 International Conference on Simulation of Semiconductor Processes and Devices, SISPAD 2024
    Country/TerritoryUnited States
    CitySan Jose
    Period25-09-2427-09-24

    All Science Journal Classification (ASJC) codes

    • Electrical and Electronic Engineering
    • Computer Science Applications
    • Modelling and Simulation

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