Tags: statistical mechanics

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  1. Sebastian Rivas

    https://nanohub.org/members/296706

  2. Ivan C. Christov

    Ivan Christov received his Ph.D. in Engineering Sciences and Applied Mathematics from Northwestern University. Subsequently, he was awarded an NSF Mathematical Sciences Postdoctoral Research...

    https://nanohub.org/members/187912

  3. Allan Maple Oliveira

    https://nanohub.org/members/57468

  4. Frank T Willmore

    BS in Professional Chemistry, Valparaiso University 1993PhD in Chemical Engineering, University of Texas 2006

    https://nanohub.org/members/56422

  5. Review of Statistical Mechanics

    30 Jun 2011 | | Contributor(s):: Dragica Vasileska

    This set of handwritten notes is part of the semiconductor transport class. It deals with the derivations of semiconductor statistics for bosons and fermions. It follows the approach of McKelvey.

  6. Alessandro Motta

    https://nanohub.org/members/53317

  7. Giovanni Ramirez Garcia

    Research interest: development of theoretical methods to study quantum many-body systems which are of interest in different areas such as Quantum Information and Quantum Simulation. Such systems...

    https://nanohub.org/members/50475

  8. Fun in the Sand: Some Experiments in Granular Physics

    25 Oct 2010 | | Contributor(s):: Peter E. Schiffer

    In the last two decades, condensed matter physicists have begun an intense study of the dynamic and static properties of granular media (materials made from individual acroscopic solid grains). These materials offer a vast arena of new physical phenomena which are highly accessible and largely...

  9. Statistical Mechanics

    20 Jul 2010 | | Contributor(s):: Dragica Vasileska, David K. Ferry

    This set of slides describes the derivation of Fermi-Dirac, Maxwell-Boltzmann and Bose-Einstein statistics.

  10. ABACUS Exercise: Carrier Statistics

    20 Jul 2010 | | Contributor(s):: Dragica Vasileska

    The objective of this exercise is to derive Bose-Einstein and Maxwell-Boltzmann statistics.

  11. Boltzmann Law: Physics to Computers

    Courses|' 23 Oct 2020

    Provides a unified perspective connecting equilibrium statistical mechanics with stochastic neural networks and quantum computing.

    https://nanohub.org/courses/BPC