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Computational modeling of transport properties of decorated SWCNT: application in H2S gas sensor

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Abstract

Single-walled carbon nanotube (SWCNT) functionalized with Pd nanoclusters have been shown experimentally to be effective H2S gas sensors. To this end, we have modeled a field-effect transistor with semiconducting SWCNT functionalized with palladium nanoclusters as the channel. Using non-equilibrium Green’s function method combined with density functional theory, we have investigated the effect of Pd nanoclusters on the electrical properties of the device and the sensing ability of the device as an H2S gas sensor at zero bias voltage. We have modeled two devices, one with Au electrodes and the other with SWCNT electrodes to show the effect of Au electrodes on the electrical properties of the device. In order to analyze the reason for the changes in the electrical properties of the device, charge transfer and electrostatic potential of the system are investigated. Results show that in both devices, functionalization with Pd nanoclusters results with the accumulation of charge on the channel while H2S adsorption causes charge depletion in the channel. In all cases, both charge transfer and electrostatic gating are responsible for the changes in the charge-carrier concentration in the channel. Due to significant changes in the electrical properties of the device after H2S adsorption, detection is possible with high sensitivity.

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Authors and Affiliations

  1. Department of Physics, Safadasht Branch, Islamic Azad University, Tehran, Iran

    Sheida Bagherzadeh-Nobari

  2. Hamava Innovation Factory, No. 31, Azadi Innovation Factory, Lashgari Highway, Azadi Square, Tehran, Iran

    Kiarash Hosseini Istadeh & Reza Kalantarinejad

Authors
  1. Sheida Bagherzadeh-Nobari
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  2. Kiarash Hosseini Istadeh
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  3. Reza Kalantarinejad
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Correspondence to Sheida Bagherzadeh-Nobari.

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Bagherzadeh-Nobari, S., Istadeh, K.H. & Kalantarinejad, R. Computational modeling of transport properties of decorated SWCNT: application in H2S gas sensor. J Nanopart Res 22, 289 (2020). https://doi.org/10.1007/s11051-020-05013-3

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