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NCN Nanomaterials: Courses

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  • (2009), "NCN Nanomaterials: Courses," http://nanohub.org/resources/6805.

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In This Series

  1. MSE 376 Nanomaterials

    24 Oct 2006 | Courses | Contributor(s): Mark Hersam

    "Nanomaterials," is an interdisciplinary introduction to processing, structure, and properties of materials at the nanometer length scale. The course will cover recent breakthroughs and assess the impact of this burgeoning field. Specific nanofabrication topics include epitaxy, beam...

  2. Overview of Computational Nanoscience: a UC Berkeley Course

    01 Feb 2008 | Courses | Contributor(s): Jeffrey C Grossman, Elif Ertekin

    This course will provide students with the fundamentals of computational problem-solving techniques that are used to understand and predict properties of nanoscale systems. Emphasis will be placed on how to use simulations effectively, intelligently, and cohesively to predict properties that...

  3. Illinois MATSE 280: Introduction to Engineering Materials

    18 Aug 2008 | Courses | Contributor(s): Duane Douglas Johnson

    This course introduces you to the materials science and engineering of metals, ceramics, polymers, and electronic materials. Topics include: bonding, crystallography, imperfections, phase diagrams, properties and processing of materials. Case studies are used when appropriate to exemplify the...

  4. MSE 582 Transmission Electron Microscopy Skills

    28 Jan 2008 | Courses | Contributor(s): Eric Stach

    Practical introduction to the operation of transmission electron microscopes. Microscope design and function; imaging and diffraction modes and image content; instrument operation. Required of all students who use the TEM in their research.

  5. MSE 640 Transmission Electron Microscopy and Crystalline Imperfections

    25 Feb 2008 | Courses | Contributor(s): Eric Stach

  6. Illinois MatSE485/Phys466/CSE485 - Atomic-Scale Simulation

    27 Jan 2009 | Courses | Contributor(s): David M. Ceperley

    THE OBJECTIVE is to learn and apply fundamental techniques used in (primarily classical) simulations in order to help understand and predict properties of microscopic systems in materials science, physics, chemistry, and biology. THE EMPHASIS will be on connections between the simulation results...

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