Multiscale metrology and optimization of ultra-scaled InAs quantum well FETs

Neerav Kharche, Gerhard Klimeck, Dae Hyun Kim, Jess A. Del Alamo, Mathieu Luisier

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

A simulation methodology for ultra-scaled InAs quantum well field-effect transistors (QWFETs) is presented and used to provide design guidelines and a path to improve device performance. A multiscale modeling approach is adopted, where strain is computed in an atomistic valence-force-field method, an atomistic sp3d5 tight-binding model is used to compute channel effective masses, and a 2-D real-space effective mass-based ballistic quantum transport model is employed to simulate three-terminal current-voltage characteristics including gate leakage. The simulation methodology is first benchmarked against experimental IV data obtained from devices with gate lengths ranging from 30 to 50 nm. A good quantitative match is obtained. The calibrated simulation methodology is subsequently applied to optimize the design of a 20 nm gate length device. Two critical parameters have been identified to control the gate leakage current of the QWFETs, i) the geometry of the gate contact (curved or square) and ii) the Schottky barrier height at the gate metal contact. In addition to pushing the threshold voltage toward an enhancement mode operation, a higher Schottky barrier at gate metal contact can help suppress the gate leakage and enable aggressive insulator scaling.

Original languageEnglish
Article number5771986
Pages (from-to)1963-1971
Number of pages9
JournalIEEE Transactions on Electron Devices
Volume58
Issue number7
DOIs
StatePublished - Jul 2011

Keywords

  • High electron mobility transistor (HEMT)
  • InAs
  • InGaAs
  • nonequilibrium Greens function (NEGF)
  • nonparabolicity
  • quantum well field effect transistor (QWFET)
  • tight-binding

Fingerprint

Dive into the research topics of 'Multiscale metrology and optimization of ultra-scaled InAs quantum well FETs'. Together they form a unique fingerprint.

Cite this