Quantum Dot Lab

By Gerhard Klimeck1, Lars Bjaalie2, Sebastian Steiger1, (unknown)1, Tillmann Christoph Kubis1, Matteo Mannino1, Michael McLennan1, Hong-Hyun Park1, Michael Povolotskyi

1. Purdue University 2. University of Illinois at Urbana-Champaign

Compute the eigenstates of a particle in a box of various shapes including domes and pyramids.

Launch Tool

This tool version is unpublished and cannot be run. If you would like to have this version staged, you can put a request through HUB Support.

Archive Version 2.1
Published on 27 Jan 2011 All versions

doi:10.4231/D3B27PR0Q cite this



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Quantum dots can be produced in a variety of material systems and geometries. This simple educational tool simulates the particle in a box problem for a variety of geometries such as boxes, cylinders, pyramids, and ellipsoids. A simple single band effective mass model is employed and the simulations run interactively. 3-D visualization depicts the 3-D confined wave functions. Optical transitions are computed and sorted into dark and light lines. Absorption curves are computed for different polarizations and orientations. Parameters such as incident light angle and polarization, Fermi level, or temperature can be scanned to analyze the effect of 3-D geometries on isotropic optical properties.

This tool is supported by variety of different materials:

A topic page is available with homeworks/tests/real-life problems.
Upgrades from previous versions:
  • Ver 1.1: Now users can select an effective mass of the quantum dot. Also the tool speed was a bit improved and there is a status bar indicating progress in the visualization preparation – which had been slow.
  • Ver 1.1.1: The optical absorption lines are not as finely resolved and therefore do not demand such large file sizes. The default absorption line width was also increased by a factor of 10. Finally the number of allowed states was increased to 150.
  • Ver 1.1.4: Added default values for effective mass for the different materials listed.
  • Ver 2.0: The tool now runs NEMO 5 instead of NEMO 3D. This fixes a problem connected to the absolute position of energy levels. A 1s tight-binding band structure model is used which is equivalent to an effective-mass model. The optical matrix elements and absorption peaks are calculated slightly differently compared to the old tool. The GUI has been rearranged, allowing for the effective mass parameters to be set by the user. The tab for optical calculations has also been cleaned up. The performance of NEMO 5 is still undergoing optimizations.
  • Ver 2.0.1/2: 4 digits of floating point is used in energy states plot. Fixed error when the different number of states is used. Several detailed description of input parameters is updated.
  • Ver 2.1: Update to NEMO 5 r4228.

Powered by

Quantum Dot Lab version 1.x ran NEMO-3D. Starting from version 2.0, the underlying engine is NEMO 5, a code under development in the research group of Gerhard Klimeck. NEMO 5 is an open source nanoelectronics device simulator containing a variety of different material and geometry models. Features include the construction of atomistic grids of varying crystal structures, multiband Schroedinger-Poisson simulations, and user-friendly input/output.


Sebastian Steiger, Michael Povolotskyi, Tillmann Kubis, Hong-Hyun Park: NEMO 5 core development team.
Lars Bjaalie:Integration of NEMO 5 with Quantum Dot Lab.
Matteo Mannino, David Ebert, Michael McLennan:Initial version of Quantum Dot Lab (<2.0).
Gerhard Klimeck: General supervision.

Cite this work

Researchers should cite this work as follows:

    • "Building and Deploying Community Nanotechnology Software Tools on nanoHUB.org and Atomistic simulations of multimillion-atom quantum dot nanostructures", Gerhard Klimeck, Marek Korkusinski, Haiying Xu, Seungwon Lee, Sebastien Goasguen and Faisal Saied, Proceedings of the 5th IEEE Conference on Nanotechnology, 2: pg. 807, 07 (2005)
  • Gerhard Klimeck; Lars Bjaalie; Sebastian Steiger; ; Tillmann Christoph Kubis; Matteo Mannino; Michael McLennan; Hong-Hyun Park; Michael Povolotskyi (2018), "Quantum Dot Lab," https://nanohub.org/resources/qdot. (DOI: 10.21981/D3B27PR0Q).

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