Tags: Physics

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  1. Deb Newberry

    Deb Newberry is the director of the Nanoscience Technology program at Dakota County Technical College in Rosemount, MN where she created 8 college level nano specific courses and the 2 year,...

    https://nanohub.org/members/15607

  2. Design Challenge: Incorporating Shape Memory Alloys into Rube Goldberg Devices

    05 Feb 2020 | | Contributor(s):: Joyce Allen, NNCI Nano

    This lesson consists of two parts. In Part 1, students determine which of set of wires is a unique metal alloy called Nitinol. Nitinol is called a shape memory alloy (an SMA) because it can “remember” its original shape under certain conditions after being bent, twisted, or...

  3. Devesh Chandra

    https://nanohub.org/members/56690

  4. Doping to Create a Semiconductor: Changing conductive properties through diffusion

    14 Jan 2020 | | Contributor(s):: Kaye Sheets, NNCI Nano

    In the semiconductor industry scientists take advantage of diffusion to “dope” or introduce atoms into a silicon wafer to change its conductive properties. The lesson simulates the diffusion of a gas phase substance (ammonia) into a solid substrate (gelatin)  and compares the...

  5. Efficiency of Nitinol Wire

    11 Jun 2020 | | Contributor(s):: John Nice, NNCI Nano

    This lab activity focused on nitinol or muscle wires  which are shape memory alloys. These wires can be used to lift a weight up a height. Students will explore how the work performed lifting a load with the nitinol wire compares to the energy pumped into the wire by an electrical current....

  6. Frederico Marcolino Quintao Severgnini

    https://nanohub.org/members/122241

  7. Jun 02 2013

    Graphene Week 2013

    The 7th International Conference on the Fundamental Science of Graphene and Applications of Graphene-Based Devices (Graphene Week 2013) is devoted to the science and technology of graphene,...

    https://nanohub.org/events/details/372

  8. H Elmeleegi

    https://nanohub.org/members/81934

  9. Hadley Pattin

    https://nanohub.org/members/59723

  10. Harish Kundur

    B.Tech - Electrical Engg. IIT Madras (1994-1998)M.Tech - VLSI Design Tools and Technology IIT Delhi (1999-2001)Work Experience: Philips Research+ NXP Research (2002-2011)Circuit Designer (exit...

    https://nanohub.org/members/89424

  11. Héctor Corte León

    '''Biography'''Héctor Corte León was born in Asturias, Spain, in 1985. He received the BSci degree in Physics from the University of Oviedo, Spain, in 2010 and the MSci degree fron UNED, Spain, in...

    https://nanohub.org/members/82890

  12. Hiding Behind the Mask: A Fabrication Activity Focused on Etching

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

    This lab is designed to help students understand one aspect of semiconductor manufacture: selective layering. The activity focuses on electrochemical etching which is used in semiconductor manufacturing.

  13. How Catalysts Work - A Nanoscale Phenomenon

    13 Jan 2020 | | Contributor(s):: Manueal Casillas, NNCI Nano

    This activity helps students understand how catalysts work on the nanoscale. Catalyst are more efficient when on the nanoscale because of the large amount of surface area in comparison to volume. This is a great way to introduce or review reactants, catalysts, and adsorption, desorption, and...

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

    27 Jan 2009 | | 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...

  15. Illinois PHYS 466, Lecture 1: Introduction

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

    Introduction to Simulation Content: Why do simulations? Moore's law Two Simulation Modes Dirac, 1929 Challenges of Simulation: Physical and mathematical underpinnings Complexity Estimation of Computer Time and Size Challenges of Simulation: Multi-scale computational materials research Short...

  16. Illinois PHYS 466, Lecture 6: Scalar Properties and Static Correlations

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

    Scalar Properties, Static Correlations and Order ParametersWhat do we get out of a simulation? Static properties: pressure, specific heat, etc. Density Pair correlations in real space and Fourier space Order parameters and broken symmetry: How to tell a liquid from a solid Dynamical properties...

  17. Illinois PHYS 466, Lecture 7: Dynamical Correlations & Transport Coefficients

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

    Dynamical correlations and transport coefficientsDynamics is why we do molecular dynamics! Perturbation theory Linear-response theory Diffusion constants, velocity-velocity auto correlation fct. Transport coefficients Diffusion: Particle flux Viscosity: Stress tensor Heat transport: energy...

  18. Illustrative Mathematical Concepts

    05 Jun 2020 | | Contributor(s):: Hae Ji Kwon, Mike Jovanovich, David R. Ely

    Illustrates mathematical concepts and their applications

  19. JeeHong Park

    https://nanohub.org/members/196231

  20. Justice Archer

    https://nanohub.org/members/72422