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Tags: quantum dots

Quantum dots have a small, countable number of electrons confined in a small space. Their electrons are confined by having a tiny bit of conducting material surrounded on all sides by an insulating material. If the insulator is strong enough, and the conducting volume is small enough, then the confinement will force the electrons to have discrete (quantized) energy levels. These energy levels can influence the device behavior at a macroscopic scale, showing up, for example, as peaks in the conductance. Because of the quantized energy levels, quantum dots have been called "artificial atoms." Neighboring, weakly-coupled quantum dots have been called "artificial molecules."

Learn more about quantum dots from the many resources on this site, listed below.

Resources

Tools

Online Presentations

  • 10.0 Ranking Shalaev: Plasmonic Nanophotonics: Coupling ...

    Plasmonic Nanophotonics: Coupling Light to Nanostructure via Plasmons

    Type Online Presentations
    Contributor(s) Vladimir M. Shalaev
    Date 04 Oct. 2005
    Avg. Rating 5.0 out of 5 stars  (2)
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    The photon is the ultimate unit of information because it packages data in a signal of zero mass and has unmatched speed. The power of light is driving the photonicrevolution, and information technologies, which were formerly entirely electronic, are increasingly enlisting light to communicate and ...

  • 10.0 Ranking Raman: Atomic Force Microscopy

    Atomic Force Microscopy

    Type Online Presentations
    Contributor(s) Arvind Raman
    Date 29 Nov. 2005
    Avg. Rating 5.0 out of 5 stars  (1)
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    Atomic Force Microscopy is has become an indispensible tool in nanoscience for the fabrication, metrology, manipulation and property characterization of nanostructures. In this tutorial, we will review the physics of the interaction forces between the nanoscale tip and sample, the dynamics ...

  • 10.0 Ranking Leary: Engineering Nanomedical Systems

    Engineering Nanomedical Systems

    Type Online Presentations
    Contributor(s) James Leary
    Date 14 Mar. 2006
    Avg. Rating 5.0 out of 5 stars  (3)
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    This tutorial will cover general problems and approaches to the design of engineered nanomedical systems. An example to be covered is the engineering design of programmable multilayered nanoparticles (PMNP) to control a multi-sequence process of targeting to rare cells in-vivo, re-targeting ...

  • 10.0 Ranking Sands: Nanotubes and Nanowires: ...

    Nanotubes and Nanowires: One-dimensional Materials

    Type Online Presentations
    Contributor(s) Timothy D. Sands
    Date 17 Jul. 2006
    Avg. Rating 5.0 out of 5 stars  (6)
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    What is a nanowire? What is a nanotube? Why are they interesting and what are their potential applications? How are they made? This presentation is intended to begin to answer these questions while introducing some fundamental concepts such as wave-particle duality, quantum confinement, the ...

  • 10.0 Ranking Ebert: Is Seeing Believing? How to Think ...

    Is Seeing Believing? How to Think Visually and Analyze with Both Your Eyes and Brain

    Type Online Presentations
    Contributor(s) David Ebert
    Date 26 Mar. 2007
    Avg. Rating 5.0 out of 5 stars  (1)
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    In this talk, I will cover the basic techniques for visualization, some of the tools available, and how to NOT miscommunicate information from your visualizations.

  • 9.9 Ranking Stach: What Can the TEM Tell You About ...

    What Can the TEM Tell You About Your Nanomaterial?

    Type Online Presentations
    Contributor(s) Eric Stach
    Date 26 Feb. 2007
    Avg. Rating 5.0 out of 5 stars  (1)
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    In this tutorial, I will present a brief overview of the ways that transmission electron microscopy can be used to characterize nanoscale materials. This tutorial will emphasize what TEM does well, as well where difficulties arise. In particular, I will discuss in an overview manner how ...

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Courses

  • 9.4 Ranking Datta: Quantum Transport: Atom to ...

    Quantum Transport: Atom to Transistor

    Type Courses
    Contributor(s) Supriyo Datta
    Date 07 Aug. 2006
    Avg. Rating 5.0 out of 5 stars  (21)
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    The development of "nanotechnology" has made it possible to engineer materials and devices on a length scale as small as several nanometers (atomic distances are ~ 0.1 nm). The properties of such "nanostructures" cannot be described in terms of macroscopic parameters like mobility and diffusion ...

Learning Modules

  • 10.0 Ranking Fodor: Introduction to Quantum Dot Lab

    Introduction to Quantum Dot Lab

    Type Learning Modules
    Contributor(s) James K Fodor, Jing Guo
    Date 02 Jul. 2007
    Avg. Rating 0.0 out of 5 stars  (0)
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    This learning module introduces nanoHUB users to the Quantum Dot Lab simulator. A brief introduction to Quantum Dot Lab is presented, followed by voiced presentations featuring the simulator in action. Upon completion of this module, users should be able to use this simulator to gain valuable ...

Teaching Materials

  • 6.7 Ranking Muralidharan: Introduction to Coulomb Blockade ...

    Introduction to Coulomb Blockade Lab

    Type Teaching Materials
    Contributor(s) Bhaskaran Muralidharan, Xufeng Wang, Gerhard Klimeck
    Date 31 Mar. 2008
    Avg. Rating 0.0 out of 5 stars  (0)
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    The tutorial is based on the Coulomb Blockade Lab available online at Coulomb Blockade Lab. Students are introduced to the concepts of level broadening and charging energies in artificial atoms (single quantum dots) and molecules (coupled quantum dots). A tutorial level introduction to the ...

  • 5.7 Ranking Klimeck: Homework Exercise on Quantum Dot ...

    Homework Exercise on Quantum Dot Spectra, Absorption, and State Symmetry

    Type Teaching Materials
    Contributor(s) Gerhard Klimeck
    Date 30 Mar. 2008
    Avg. Rating 0.0 out of 5 stars  (0)
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    The tutorial questions based on the Quantum Dot Lab v1.0 available online at Quantum Dot Lab. Students are asked to explore the various different quantum dot shapes, optimize the intra-band absorption through geometry variations, and the concepts of state symmetry and eigenstates. NCN@Purdue

Animations

  • 5.0 Ranking Bean: Quantum-dot Cellular Automata ...

    Quantum-dot Cellular Automata (QCA) - Memory Cells

    Type Animations
    Contributor(s) John C. Bean
    Date 03 Feb. 2006
    Avg. Rating 0.0 out of 5 stars  (0)
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    Scientists and engineers are looking for completely different ways of storing and analyzing information. Quantum-dot Cellular Automata are one possible solution. In computers of the future, transistors may be replaced by assemblies of quantum dots called Quantum-dot Cellular Automata (QCAs).This ...

  • 0.0 Ranking Bean: Quantum-dot Cellular Automata ...

    Quantum-dot Cellular Automata (QCA) - Logic Gates

    Type Animations
    Contributor(s) John C. Bean
    Date 03 Feb. 2006
    Avg. Rating 0.0 out of 5 stars  (0)
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    An earlier animation described how "Quantum-dot Cellular Automata" (QCAs) could serve as memory cells and wires. This animation contnues the story by describing how QCAs can be made into MAJORITY, OR, AND, and INVERTER logic gates.

Publications

  • 5.2 Ranking Klimeck: Development of a Nanoelectronic ...

    Development of a Nanoelectronic 3-D (NEMO 3-D ) Simulator for Multimillion Atom Simulations and Its Application to Alloyed Quantum Dots

    Type Publications
    Contributor(s) Gerhard Klimeck, Timothy Boykin
    Date 14 Jan. 2008
    Avg. Rating 0.0 out of 5 stars  (0)
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    Material layers with a thickness of a few nanometers are common-place in today’s semiconductor devices. Before long, device fabrication methods will reach a point at which the other two device dimensions are scaled down to few tens of nanometers. The total atom count in such deca-nano devices is ...

Downloads

  • 9.7 Ranking Palaria: A MATLAB code for Hartree Fock ...

    A MATLAB code for Hartree Fock calculation of H-H ground state bondlength and energy using STO-4G

    Type Downloads
    Contributor(s) Amritanshu Palaria
    Date 08 Aug. 2006
    Avg. Rating 5.0 out of 5 stars  (1)
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    Hartree Fock (HF) theory is one of the basic theories underlying the current understanding of the electronic structure of materials. It is a simple non-relativistic treatment of many electron system that accounts for the antisymmetric (fermion) nature of electronic wavefunction but does not account ...

  • 5.2 Ranking McLennan: SEQUAL 2.1 Source Code Download

    SEQUAL 2.1 Source Code Download

    Type Downloads
    Contributor(s) Michael McLennan
    Date 09 Mar. 2005
    Avg. Rating 0.0 out of 5 stars  (0)
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    SEQUAL 2.1 is a device simulation program that computes Semiconductor Electrostatics by Quantum Analysis. Given a device, SEQUAL will compute the electron density and the current density using a quantum mechanical, collisionless description of electron propagation. It was designed to be a ...

  • 0.0 Ranking   Quantum Dot - synthesis routes

    Quantum Dot - synthesis routes

    Type Downloads
    Contributor(s)
    Date 03 Apr. 2007
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    A brief survey of synthesis routes of quantum dots, with more emphasis on epitaxial and colloidal approaches.

Workshops

  • 10.0 Ranking   2005 Molecular Conduction and ...

    2005 Molecular Conduction and Sensors Workshop

    Type Workshops
    Contributor(s)
    Date 25 May. 2005
    Avg. Rating 0.0 out of 5 stars  (0)
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    This is the 3rd in a series of annual workshops on Molecular Conduction. The prior workshops have been at Purdue University, W. Lafayette, IN (2003) and Nothwestern University, Evanston, IL (2004). The workshop has been an informal and open venue for discussing new results, key challenges, and ...

Notes

  • 0.0 Ranking Christensen: Visualization of and Educational ...

    Visualization of and Educational Tool for Quantum Dots

    Type Notes
    Contributor(s) Aaron Christensen, Adrian Rios
    Date 15 Aug. 2004
    Avg. Rating 0.0 out of 5 stars  (0)
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    Quantum dots (QDs) are confined structures made of metals and semiconductors that are capable of containing free electrons.The ability to visualize these small devices is advantageous in determining probable electron orbitals and in observing information not easily conceived in raw datasets.

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