Moving Toward Nano-TCAD Through Multimillion-Atom Quantum-Dot Simulations Matching Experimental Data

Muhammad Usman, Purdue University - Main Campus
Hoon Ryu, Purdue University - Main Campus
Insoo Woo, Purdue University - Main Campus
David S. Ebert, Purdue University - Main Campus
Gerhard Klimeck, Purdue University - Main Campus

Date of this Version

5-2009

Citation

IEEE Trans. on Nanotechnology, Vol. 8, No. 3, May 2009, pp. 330-344

Acknowledgements

The authors would like to thank Prof. T. BOykin (University of Alabama, Huntsville), Prof. L. Hollenberg (University of Melbourne, Melbourne, Australia), Prof. M. Shin (Information and Communications University, Daejeon, Korea), and Dr. B. Haley (Purdue University, West Lafayette, IN) for reviewing the manuscript and providing valuable suggestions. nanoHUB.org [30] computational resoures operated by the Network for Computational Nanotechnology (NCN) funded by the National Science Foundation were used in this paper.

Abstract

Low-loss optical communication requires light sources at 1.5μmwavelengths.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. NEMO3-D will be released on nanoHUB.org, where the community can duplicate and expand on the results presented here through interactive simulations.

Keywords

Aspect ratio (AR), quantum dots (QDs), strain, strain reducing layer, weave function, wavelength

 

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