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. More information on Quantum dots can be found here.

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  1. Quantum Dots: Real-world Particles in a Box

    15 Jan 2020 | | Contributor(s):: Joyce Allen, NNCI Nano

    The purpose of this activity is to show that nanosize particles of a given substance often exhibit different properties and behavior than macro or micro size particles of the same material. The property studied in this activity is the absorption and reflection of light which is based on energy...

  2. Turning Fruit Juice into Graphene Quantum Dots

    06 Jan 2020 | | Contributor(s):: John Gomm, NNCI Nano

    Graphene, a sub-nanometer thick sheet made of carbon, was isolated just over a decade ago (2004), yet swiftly won the Nobel Prize for Geim and Novoselov in 2010 for its properties of high strength, conductivity, and transparency. Students will replicate the procedure used to isolate graphene...

  3. Spin Quantum Gate Lab

    26 Apr 2019 | | Contributor(s):: Tong Wu, Daniel Volya, Jing Guo

    Simulate the device-level characteristics of spin-based quantum gates.

  4. Saptam Ganguly


  5. mayuri sritharan


  6. Saroj Kanta Patra

    Saroj K. Patra currently works at the Photonics Theory Group, Tyndall National Institute. Saroj does research in III-Nitride materials and their nanostructures. Their current project is 'Electronic...


  7. Amr Waleed Shalaby


  8. Amy Kate Masreliez, MBA


  9. Gautam Jha


  10. Quantum Dot Lab - A Novel Visualization Tool using Jupyter

    09 Oct 2017 | | Contributor(s):: Khaled Aboumerhi

    As semiconductor devices scale down into the nano regime, deep understanding of quantum mechanical properties of nano-structures become increasingly essential. Quantum dots are famous examples of such nano-structures. Quantum dots have attracted a lot of attention over the last two decades due to...

  11. Quantum Dot Lab via Jupyter

    30 Aug 2017 | | Contributor(s):: Khaled Aboumerhi, Tarek Ahmed Ameen, Prasad Sarangapani, Daniel F Mejia, Gerhard Klimeck

    Simulate 3-D confined states in quantum dot geometries using Jupyter notebook for educational purposes

  12. Adam Marc Munder


  13. Synthesis and Characterization of CdSe Qunatum Dots

    09 Jan 2017 | | Contributor(s):: Nicholas Blake, NNCI Nano

    In this laboratory, students will study how surfactant-based chemistry can be used to synthesize CdSe quantum dots and study how the size of the quantum dots can be controlled by varying reaction time. The laboratory will  demonstrate how the color of these quantum dots can be connected to...

  14. jesus alexis Gonzalez


  15. Venugopal Reddyvari

    I am a Assistant Professor of Physics working in India


  16. Valley Dependent g-factors in Silicon: Role of Spin-Orbit and Micromagnets

    09 Dec 2016 | | Contributor(s):: Rajib Rahman

    In this talk I will show that spin splittings in silicon quantum dots are inherently valley-dependent. Interface disorder, such as monoatomic steps, can strongly affect the intrinsic spin-orbit coupling and can cause device-to-device variations in g-factors. I will also describe the anisotropy of...

  17. Abhisek Kole


  18. Alex Abelson


  19. E304 L8.1.3: Nanophotonics - Quantum Dots

    15 Apr 2016 | | Contributor(s):: ASSIST ERC

  20. Universal Behavior of Strain in Self-assembled Quantum Dots

    01 May 2016 | | Contributor(s):: Hesameddin Ilatikhameneh, Tarek Ahmed Ameen, Gerhard Klimeck, Rajib Rahman

    This resource contains the universal behavior strain files produced by Nemo5. Attached also a Matlab script that can utilize the these compact descriptive files to produce the full strain distribution.  Supported QD shapes; Cuboid, Dome, Cone, and Pyramid. Supported material systems;...