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Understanding how junction resistances impact the conduction mechanism in nano-networks

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22310%2F24%3A43929978" target="_blank" >RIV/60461373:22310/24:43929978 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.nature.com/articles/s41467-024-48614-5" target="_blank" >https://www.nature.com/articles/s41467-024-48614-5</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1038/s41467-024-48614-5" target="_blank" >10.1038/s41467-024-48614-5</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Understanding how junction resistances impact the conduction mechanism in nano-networks

  • Original language description

    Networks of nanowires, nanotubes, and nanosheets are important for many applications in printed electronics. However, the network conductivity and mobility are usually limited by the resistance between the particles, often referred to as the junction resistance. Minimising the junction resistance has proven to be challenging, partly because it is difficult to measure. Here, we develop a simple model for electrical conduction in networks of 1D or 2D nanomaterials that allows us to extract junction and nanoparticle resistances from particle-size-dependent DC network resistivity data. We find junction resistances in porous networks to scale with nanoparticle resistivity and vary from 5 Omega for silver nanosheets to 24 G Omega for WS2 nanosheets. Moreover, our model allows junction and nanoparticle resistances to be obtained simultaneously from AC impedance spectra of semiconducting nanosheet networks. Through our model, we use the impedance data to directly link the high mobility of aligned networks of electrochemically exfoliated MoS2 nanosheets (approximate to 7 cm2 V-1 s-1) to low junction resistances of similar to 2.3 M Omega. Temperature-dependent impedance measurements also allow us to comprehensively investigate transport mechanisms within the network and quantitatively differentiate intra-nanosheet phonon-limited bandlike transport from inter-nanosheet hopping. The electrical properties of nanostructured networks are often dominated by junctions between the particles. Here, Gabett et al. develop transport models and utilise impedance spectroscopy to quantify the factors limiting conduction in these systems.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10402 - Inorganic and nuclear chemistry

Result continuities

  • Project

    <a href="/en/project/LL2101" target="_blank" >LL2101: Next Generation of 2D Monoelemental Materials</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

  • Name of the periodical

    Nature Communications

  • ISSN

    2041-1723

  • e-ISSN

    2041-1723

  • Volume of the periodical

    15

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    13

  • Pages from-to

  • UT code for WoS article

    001234660500030

  • EID of the result in the Scopus database

    2-s2.0-85194864868