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Electrical characterization of graphene sensors

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F24%3APU155026" target="_blank" >RIV/00216305:26220/24:PU155026 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2024_sbornik_2.pdf" target="_blank" >https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2024_sbornik_2.pdf</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.13164/eeict.2024.104" target="_blank" >10.13164/eeict.2024.104</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Electrical characterization of graphene sensors

  • Original language description

    Graphene has shown to have great electrical, thermal and chemical properties. These qualities are suitable for construction of a chemical sensor with graphene as its sensing material. These graphene-based sensors are currently in the field of research and they are not yet viable for mass commercial application. Studies in graphene-based sensors span its very high sensitivity, selectivity, functionalization, manufacturability, stability and material configuration. We focus on the noise characterization in pristine graphene sensors, with different active channel size and layout of the electrodes. The topic of sensor characterization is difficult. Very often researchers omit the measurement setup and information about sample preparation. This article is focused on design of a sample, that is suitable for various graphene sensor experiments. We have come up with a successful design of highly configurable sample board with mounted graphene sensor, that are easy to work with. These samples are to be used for noise analysis of a graphene sensor, that is put in different gas environments

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    21002 - Nano-processes (applications on nano-scale); (biomaterials to be 2.9)

Result continuities

  • Project

    <a href="/en/project/GA23-07384S" target="_blank" >GA23-07384S: Back-gated few-layers graphene gas sensors: charge transport and its fluctuation used for performance improvement</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2024

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings II of the 30th Conference STUDENT EEICT 2024: Selected papers

  • ISBN

    978-80-214-6230-4

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    104-107

  • Publisher name

    Brno University of Technology, Faculty of Electrical Engineering and Communication

  • Place of publication

    Brno

  • Event location

    Brno

  • Event date

    Apr 23, 2024

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article