• Login
    View Item 
    •   DSpace@RPI Home
    • Rensselaer Libraries
    • RPI Theses Online (Complete)
    • View Item
    •   DSpace@RPI Home
    • Rensselaer Libraries
    • RPI Theses Online (Complete)
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Carbon nanotubes for sensing and terahertz applications

    Author
    Park, Junsung
    View/Open
    Park_rpi_0185E_11955.pdf (3.953Mb)
    Other Contributors
    Shur, Michael; Lu, James Jian-Qiang; Dutta, Partha S.; Washington, Morris A.;
    Date Issued
    2021-12
    Subject
    Electrical engineering
    Degree
    PhD;
    Terms of Use
    This electronic version is a licensed copy owned by Rensselaer Polytechnic Institute (RPI), Troy, NY. Copyright of original work retained by author.;
    Metadata
    Show full item record
    URI
    https://hdl.handle.net/20.500.13015/6140
    Abstract
    Emerging Internet of Things (IoT) requires reliable and high-performance sensors. Carbon nanotubes (CNTs) have been proposed as a promising candidate for the next-generation sensors due to their unique properties. CNTs have high surface to volume ratios and, therefore, they are especially suited for interaction with external stimuli, such as molecules and electromagnetic waves, to transduce electronic signals. The properties of CNTs depend on structural parameters and on the growth technique and affected by encapsulation and substrates, as well as dopants. Besides the individual forms of CNTs, the network system of randomly oriented CNTs exhibit considerable potential for sensing applications. In particular, percolative behavior, which is a dramatic change in the electrical conductance of the CNT cluster near the percolation threshold, where long range electrical path is established allows for an additional adjustment and optimization of the sensing properties. Despite of a number of experimental and theoretical demonstration of CNT sensors, a fundamental issue for further performance improvement is yet to be solved: inherent randomness in sizes, types, alignment, and surface properties of the carbon nanotubes. In this thesis, we focus on the randomness control strategies for CNT field-effect transistors (FETs) and CNT network-based sensors. We report on the compact unified charge control model (UCCM) for single CNT based FETs to enable accurate simulation of plasmonic THz response and temperature dependent electrical conductance in the CNT FETs, and thereby, to allow optimization of the sensing performance of CNT FETs. We also propose a method to enhance the sensing performance of CNT random networks near the percolation threshold. We demonstrate the substantial conductance change of the CNT network in response to temperature variance and THz radiation near the critical CNT density. These results can provide a novel path to develop feasible methods for improving the CNT sensor performance.;
    Description
    December 2021; School of Engineering
    Department
    Dept. of Electrical, Computer, and Systems Engineering;
    Publisher
    Rensselaer Polytechnic Institute, Troy, NY
    Relationships
    Rensselaer Theses and Dissertations Online Collection;
    Access
    Restricted to current Rensselaer faculty, staff and students in accordance with the Rensselaer Standard license. Access inquiries may be directed to the Rensselaer Libraries.;
    Collections
    • RPI Theses Online (Complete)

    Browse

    All of DSpace@RPICommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    Login

    DSpace software copyright © 2002-2023  DuraSpace
    Contact Us | Send Feedback
    DSpace Express is a service operated by 
    Atmire NV