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Monte Carlo methods are a class of computational algorithms that rely on repeated random sampling to compute their results. Monte Carlo methods are often used in simulating physical and mathematical systems. Because of their reliance on repeated computation of random or pseudo-random numbers, these methods are most suited to calculation by a computer and tend to be used when it is unfeasible or impossible to compute an exact result with a deterministic algorithm.

Learn more about quantum dots from the many resources on this site, listed below. More information on Monte Carlo method can be found here.

Online Presentations (1-17 of 17)

  1. Discussion about Ion Channels Using Reduced Model Approaches

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    21 Sep 2011 | Online Presentations | Contributor(s): James Fonseca

    The seminar will cover the reasons how the channels are able to selectively permit the flow of certain species of ions while blocking other physiological cations.

    https://nanohub.org/resources/12120

  2. ECE 656 Lecture 30: Balance Equation Approach III

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    01 Dec 2009 | Online Presentations | Contributor(s): Mark Lundstrom

    Outline Carrier Temperature and Heat Flux Balance equations in 3D Heterostructures Summary

    https://nanohub.org/resources/7885

  3. ECE 656 Lecture 31: Monte Carlo Simulation

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    01 Dec 2009 | Online Presentations | Contributor(s): Mark Lundstrom

    Outline: Introduction Review of carrier scattering Simulating carrier trajectories Free flight Collision Update after collision Putting it all together Summary

    https://nanohub.org/resources/7886

  4. ECE 656 Lecture 32: Balance Equation Approach III

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    19 Jan 2012 | Online Presentations | Contributor(s): Mark Lundstrom

    Outline: Review of L31 Carrier temperature and heat flux Heterostructures Summary

    https://nanohub.org/resources/12706

  5. ECE 656 Lecture 34a: Monte Carlo Simulation I

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    21 Feb 2012 | Online Presentations | Contributor(s): Mark Lundstrom

    Outline Introduction Review of carrier scattering Simulating carrier trajectories Free flight Collision Update after collision Putting it all together Summary

    https://nanohub.org/resources/12708

  6. ECE 656 Lecture 34b: Monte Carlo Simulation II

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    21 Feb 2012 | Online Presentations | Contributor(s): Mark Lundstrom

    Outline Introduction Review of carrier scattering Simulating carrier trajectories Free flight Collision Update after collision Putting it all together Summary

    https://nanohub.org/resources/12709

  7. ECE 656 Lecture 41: Transport in a Nutshell

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    21 Feb 2012 | Online Presentations | Contributor(s): Mark Lundstrom

    https://nanohub.org/resources/12717

  8. ECE 695A Lecture 14a: Voltage Dependent HCI I

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    19 Feb 2013 | Online Presentations | Contributor(s): Muhammad Alam

    Outline: Background and Empirical Observations Theory of Hot Carriers: Hydrodynamic Model Theory of Hot Carriers: Monte Carlo Model Theory of Hot Carriers: Universal Scaling Conclusion …

    https://nanohub.org/resources/16895

  9. ECE 695A Lecture 14b: Voltage Dependent HCI II

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    19 Feb 2013 | Online Presentations | Contributor(s): Muhammad Alam

    Outline: Background and Empirical Observations Theory of Hot Carriers: Hydrodynamic Model Theory of Hot Carriers: Monte Carlo Model Theory of Hot Carriers: Universal Scaling Conclusion …

    https://nanohub.org/resources/16896

  10. Illinois PHYS 466, Lecture 18: Kinetic Monte Carlo (KMC)

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    04 May 2009 | Online Presentations | Contributor(s): David M. Ceperley, Omar N Sobh

    …

    https://nanohub.org/resources/6732

  11. Materials Science on the Atomic Scale with the 3-D Atom Probe

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    08 Nov 2006 | Online Presentations | Contributor(s): George D. W. Smith

    Some of the key goals of materials science and technology are to be able to design a material from first principles, to predict its behaviour, and also to optimise the processing route for its …

    https://nanohub.org/resources/1973

  12. Molecular modeling of lipid bilayer edge and hybrid-MCMD method: Implementation and application

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    29 Apr 2008 | Online Presentations | Contributor(s): Yong Jiang

    Introduction to mixed lipid systems, Hybrid Monte Carlo and MD (atomistic) algorithm for mixed lipid systems

    https://nanohub.org/resources/4473

  13. Particle Simulations of Ion Generation and Transport in Microelectromechanical Systems and Micropropulsion

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    29 May 2012 | Online Presentations | Contributor(s): Venkattraman Ayyaswamy

    The first part of the talk deals with use of the PIC method with Monte Carlo collisions (MCC) between electrons and the ambient neutral gas to develop models to predict charge accumulation, breakdown …

    https://nanohub.org/resources/14112

  14. Practical Introduction to the BioMOCA Suite

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    23 Apr 2008 | Online Presentations | Contributor(s): David Papke

    In this presentation, I describe how to use the online BioMOCA Suite. I explain how to prepare the .pqr input protein structure from a .pdb structure. I then explain in detail how to use each of the …

    https://nanohub.org/resources/4403

  15. Quantum and Thermal Effects in Nanoscale Devices

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    18 Sep 2008 | Online Presentations | Contributor(s): Dragica Vasileska

    To investigate lattice heating within a Monte Carlo device simulation framework, we simultaneously solve the Boltzmann transport equation for the electrons, the 2D Poisson equation to get the …

    https://nanohub.org/resources/5448

  16. Review of Several Quantum Solvers and Applications

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    11 Jun 2004 | Online Presentations | Contributor(s): Umberto Ravaioli

    Review of Several Quantum Solvers and Applications

    https://nanohub.org/resources/413

  17. [Illinois]: CSE Seminar Series: Advances in First-principles Computational Materials Science

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    20 Nov 2012 | Online Presentations | Contributor(s): Elif Ertekin

    The capability to rationally design new materials with tailored properties and functionality on a computer remains a grand challenge whose success would have tremendous impact on several …

    https://nanohub.org/resources/15919

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