A parallel adaptive finite volume method for nanoscale double-gate MOSFETs simulation

Yi-Ming Li*, Shao Ming Yu

*Corresponding author for this work

Research output: Contribution to journalArticle

42 Scopus citations

Abstract

We propose in this paper a quantum correction transport model for nanoscale double-gate metal-oxide-semiconductor field effect transistor (MOSFET) device simulation. Based on adaptive finite volume, parallel domain decomposition, monotone iterative, and a posteriori error estimation methods, the model is solved numerically on a PC-based Linux cluster with MPI libraries. Quantum mechanical effect plays an important role in semiconductor nanoscale device simulation. To model this effect, a physical-based quantum correction equation is derived and solved with the hydrodynamic transport model. Numerical calculation of the quantum correction transport model is implemented with the parallel adaptive finite volume method which has recently been proposed by us in deep-submicron semiconductor device simulation. A 20 nm double-gate MOSFET is simulated with the developed quantum transport model and computational technique. Compared with a classical transport model, it is found that this model can account for the quantum mechanical effects of the nanoscale double-gate MOSFET quantitatively. Various biasing conditions have been verified on the simulated device to demonstrate its accuracy. Furthermore, for the same tested problem, the parallel adaptive computation shows very good computational performance in terms of the mesh refinements, the parallel speedup, the load-balancing, and the efficiency.

Original languageEnglish
Pages (from-to)87-99
Number of pages13
JournalJournal of Computational and Applied Mathematics
Volume175
Issue number1 SPEC. ISS.
DOIs
StatePublished - 1 Mar 2005

Keywords

  • Adaptive computational method
  • Domain decomposition
  • Double-gate MOSFETs
  • Nanoscale device
  • Parallel algorithm
  • Quantum correction model
  • Semiconductor device simulation

Fingerprint Dive into the research topics of 'A parallel adaptive finite volume method for nanoscale double-gate MOSFETs simulation'. Together they form a unique fingerprint.

Cite this