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Photocurrent imaging and efficient photon detection in a graphene transistor

  • Fengnian Xia
  • , Thomas Mueller
  • , Roksana Golizadeh-Mojarad
  • , Marcus Freitage
  • , Yu Ming Lin
  • , James Tsang
  • , Vasili Perebeinos
  • , Phaedon Avouris
  • IBM
  • Purdue University

Research output: Contribution to journalArticlepeer-review

587 Scopus citations

Abstract

We measure the channel potential of a graphene transistor using a scanning photocurrent imaging technique. We show that at a certain gate bias, the impact of the metal on the channel potential profile extends into the channel for more than one-third of the total channel length from both source and drain sides; hence, most of the channel is affected by the metal. The potential barrier between the metal-controlled graphene and bulk graphene channel is also measured at various gate biases. As the gate bias exceeds the Dirac point voltage, V Dirac, the original p-type graphene channel turns into a p-n-p channel. When light is focused on the p-n junctions, an impressive external responsivity of 0.001 A/W is achieved, given that only a single layer of atoms are involved in photon detection.

Original languageEnglish
Pages (from-to)1039-1044
Number of pages6
JournalNano Letters
Volume9
Issue number3
DOIs
StatePublished - Mar 11 2009

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