Manipulating the voltage drop in graphene nanojunctions using a gate potential

Nick Rübner Papior, Tue Gunst, Daniele Stradi, Mads Brandbyge

Research output: Contribution to journalJournal articleResearchpeer-review

362 Downloads (Pure)


Graphene is an attractive electrode material to contact nanostructures down to the molecular scale since it can be gated electrostatically. Gating can be used to control the doping and the energy level alignment in the nanojunction, thereby influencing its conductance. Here we investigate the impact of electrostatic gating in nanojunctions between graphene electrodes operating at finite bias. Using first principles quantum transport simulations, we show that the voltage drop across \emph{symmetric} junctions changes dramatically and controllably in gated systems compared to non-gated junctions. In particular, for \emph{p}-type(\emph{n}-type) carriers the voltage drop is located close to the electrode with positive(negative) polarity, i.e. the potential of the junction is pinned to the negative(positive) electrode. We trace this behaviour back to the vanishing density of states of graphene in the proximity of the Dirac point. Due to the electrostatic gating, each electrode exposes different density of states in the bias window between the two different electrode Fermi energies, thereby leading to a non-symmetry in the voltage drop across the device. This selective pinning is found to be independent of device length when carriers are induced either by the gate or dopant atoms, indicating a general effect for electronic circuitry based on graphene electrodes. We envision this could be used to control the spatial distribution of Joule heating in graphene nanostructures, and possibly the chemical reaction rate around high potential gradients.
Original languageEnglish
JournalPhysical Chemistry Chemical Physics
Number of pages6
Publication statusPublished - 2016

Bibliographical note

© the Owner Societies 2015


Dive into the research topics of 'Manipulating the voltage drop in graphene nanojunctions using a gate potential'. Together they form a unique fingerprint.

Cite this