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Moving toward nano-TCAD through multimillion-atom quantum-dot simulations matching experimental data

Research output: Contribution to journal › Article › peer-review

Abstract

Low-loss optical communication requires light sources at 1.5 μm wavelengths. Experiments showed, without much theoretical guidance, that InAs/GaAs quantum dots (QDs) may be tuned to such wavelengths by adjusting the In fraction in an InxGa1-xAs strain-reducing capping layer. In this paper, systematic multimillion-atom electronic structure calculations explain, qualitatively and quantitatively, for the first time, available experimental data. The nanoelectronic modeling NEMO 3-D simulations treat strain in a 15-million-atom system and electronic structure in a subset of ∼9 million atoms using the experimentally given nominal geometries, and without any further parameter adjustments, the simulations match the nonlinear behavior of experimental data very closely. With the match to experimental data and the availability of internal model quantities, significant insight can be gained through mapping to reduced-order models and their relative importance. We can also demonstrate that starting from simple models has, in the past, led to the wrong conclusions. The critical new insight presented here is that the QD changes its shape. The quantitative simulation agreement with experiment, without any material or geometry parameter adjustment in a general atomistic tool, leads us to believe that the era of nanotechnology computer-aided design is approaching. NEMO 3-D will be released on nanoHUB.org, where the community can duplicate and expand on the results presented here through interactive simulations.

Original languageEnglish (US)
Article number4749336
Pages (from-to)330-344
Number of pages15
JournalIEEE Transactions on Nanotechnology
Volume8
Issue number3
DOIs
StatePublished - May 2009
Externally publishedYes

Keywords

  • Aspect ratio (AR)
  • Quantum dots (QDs)
  • Strain
  • Strain reducing layer
  • Wave function
  • Wavelength

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering

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