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  1. Introduction to the CENEMS Simulation Tool

    15 Apr 2006 | Learning Modules | Contributor(s): Gang Li, Narayan Aluru

    This learning module is an introduction to the CENEMS simulation tool. Nanoelectromechanical systems (NEMS) often contains multiple nanoscale conductors. CENEMS is a user-friendly 2-D classical electrostatic analysis tool that computes the charge density distribution on the surface of the...

  2. Introduction to nanoMOS

    02 Jul 2007 | Learning Modules | Contributor(s): James K Fodor, Jing Guo

    This learning module introduces nanoHUB users to the nanoMOS simulator. A brief introduction to nanoMOS 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 insight into the...

  3. Introduction to FETToy

    03 Jul 2007 | Learning Modules | Contributor(s): James K Fodor, Jing Guo

    This learning module introduces nanoHUB users to the FETToy simulator. A brief introduction to FETToy 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 insight into the...

  4. Introduction to Schred

    28 Jun 2007 | Learning Modules | Contributor(s): James K Fodor, Jing Guo

    This learning module introduces nanoHUB users to the Schred simulator. A brief introduction to Schred 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 insight into the...

  5. Modeling Single and Dual-Gate Capacitors using SCHRED

    31 Mar 2006 | Learning Modules | Contributor(s): Dragica Vasileska

    SCHRED stands for self-consistent solver of the 1D Poisson and 1D effective mass Schrodinger equation as applied to modeling single gate or dual-gate capacitors. The program incorporates many features such as choice of degenerate and non-degenerate statistics for semiclassical charge...

  6. Bandstructure of Carbon Nanotubes and Nanoribbons

    14 Jun 2007 | Learning Modules | Contributor(s): James K Fodor, Seokmin Hong, Jing Guo

    This learning module introduces users to the Carbon-Nano Bands simulation tool, which simulates the bandstructure of Carbon Nanotubes (CNTs) and Nanoribbons (CNRs). To gives users a strong background in bandstructure, the module starts with sections that introduce bandstructure basics. To this...

  7. Quantum Dot Lab Learning Module: An Introduction

    02 Jul 2007 | Learning Modules | Contributor(s): James K Fodor, Jing Guo

    THIS MATERIAL CORRESPONDS TO AN OLDER VERSION OF QUANTUM DOT LAB THAN CURRENTLY AVAILABLE ON nanoHUB.org.

  8. Introduction to CNTbands

    28 Jun 2007 | Learning Modules | Contributor(s): James K Fodor, Jing Guo

    This learning module introduces nanoHUB users to the CNTbands simulator. A brief introduction to CNTbands 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 insight into the...

  9. Contributing Learning Modules to the nanoHUB

    09 Jan 2006 | Learning Modules

    The goal of this learning module is to help you get started in the process of contributing learning modules to the nanoHUB. This module provides you an overview of what learning modules are, what components make up learning modules, and a quick guide to get started. A checklist is also provided...

  10. Introduction to Carbon Nanotube Electronics

    12 Oct 2005 | Learning Modules | Contributor(s): Susan Sinnott

    Carbon nanotubes (CNT) have interesting, structure-dependent electronic properties. In particular, CNTs can be a metallic or semiconducting depending on the way in which the carbon atoms are arranged in the CNT walls. The purpose of this learning module is to familiarize students with the basic...

nanoHUB.org, a resource for nanoscience and nanotechnology, is supported by the National Science Foundation and other funding agencies. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.