Time-dependent simulation of particle and displacement currents in THz graphene transistors

Z. Zhan, E. Colomes, A. Benali, D. Marian, X. Oriols

Research output: Contribution to journalArticleResearchpeer-review

5 Citations (Scopus)

Abstract

© 2016 IOP Publishing Ltd and SISSA Medialab srl. Although time-independent models provide very useful dynamical information with a reduced computational burden, going beyond the quasi-static approximation provides enriched information when dealing with terahertz (THz) frequencies. In this work, the THz noise of dual-gate graphene transistors with DC polarization is analyzed from a careful simulation of the time-dependent particle and displacement currents. From such currents, the power spectral density (PSD) of the total current fluctuations are computed at the source, drain and gate contacts. The role of the lateral dimensions of the transistors, the Klein tunneling and the positivenegative energy injection on the PSD are analyzed. Through the comparison of the PSD with and without band-toband tunneling and graphene injection, it is shown that the unavoidable Klein tunneling and positivenegative energy injection in graphene structures imply an increment of noise without similar increment on the current, degrading the (either low or high frequency) signal-to-noise ratio. Finally, it is shown that the shorter the vertical height (in comparison with the length of the active region in the transport direction), the larger the maximum frequency of the PSD. As a byproduct of this result, an alternative strategy (without length scaling) to optimize the intrinsic cut-off frequency of graphene transistors is envisioned.
Original languageEnglish
Article number054019
JournalJournal of Statistical Mechanics: Theory and Experiment
Volume2016
Issue number5
DOIs
Publication statusPublished - 1 Jan 2016

Keywords

  • Current fluctuations
  • Grapheme (theory)
  • Quantum monte carlo simulations
  • Quantum transport

Fingerprint

Dive into the research topics of 'Time-dependent simulation of particle and displacement currents in THz graphene transistors'. Together they form a unique fingerprint.

Cite this