• DocumentCode
    1779604
  • Title

    Electronic transport calculation for a selective gas sensor based on an InAs/InP triple-barrier heterostructure

  • Author

    Caicedo-Davila, Sebastian ; Rivera, Jose F. ; Velasco-Medina, J.

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Univ. del Valle Cali, Cali, Colombia
  • fYear
    2014
  • fDate
    15-18 Oct. 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper we present the results of electronic transport calculations of an InAs/InP triple-barrier heterostructure that can be used as a gas sensor to recognize the vibrations of odorant molecules at room temperature. We modeled the nanostructure using a 1D approach, and calculated the transmission, density of states and the current vs. voltage characteristics using the non-equilibrium Green´s function. The plausibility of such device is demonstrated by analyzing the local density of states in the well regions at different voltages, and comparing it to the energies of the vibrational modes of sulfur dioxide. We show that this molecule can be detected by scanning the voltage from 0 to 0.4V.
  • Keywords
    Green´s function methods; III-V semiconductors; electronic noses; indium compounds; nanosensors; nanostructured materials; vibration measurement; 1D approach; InAs-InP; current-voltage characteristics; density of state; electronic transport calculation; nanostructure; nonequilibrium Green function; odorant molecule; selective gas sensor; sulfur dioxide; temperature 293 K to 298 K; triple-barrier heterostructure; vibration recognition; voltage 0 V to 0.4 V; Electrodes; Green´s function methods; Indium phosphide; Spectroscopy; Temperature sensors; Tunneling; Selective; gas sensor; heterostructure; indium arsenide; indium phosphide; inelastic resonant tunneling; nanowire; non-equilibrium Green´s function;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensors (IBERSENSOR), 2014 IEEE 9th Ibero-American Congress on
  • Conference_Location
    Bogota
  • Print_ISBN
    978-1-4799-6835-0
  • Type

    conf

  • DOI
    10.1109/IBERSENSOR.2014.6995528
  • Filename
    6995528