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  1. Sensitivity Analysis of Multiscale Reaction Networks with Stochastic Averaging

    25 Jan 2016 | Online Presentations | Contributor(s): Araz Ryan Hashemi

    We shall show how stochastic averaging may be employed to speed computations and obtain estimates of mean values and sensitivities with respect to the steady state distribution. Further, we shall...

    https://nanohub.org/resources/23421

  2. Numerical Methods for Partial Differential Equations

    25 Jan 2016 | Online Presentations | Contributor(s): Sandip Mazumder

    A Youtube channel that presents numerous high-quality lectures on methods for solving Partial Differential Equations (PDEs). Topics include (1) Finite Difference Method: Cartesian and Curvilinear...

    https://nanohub.org/resources/23427

  3. nanoHUB: Cloud Scientific Computing in Materials Education and Research

    22 Jan 2016 | Online Presentations | Contributor(s): Alejandro Strachan

    nanoHUB’s cyber-infrastructure empowers simulation tool developers to make their codes universally accessible and useful via cloud computing and empowers users who can run hundreds of tools...

    https://nanohub.org/resources/22724

  4. nanoHUB@SIU: Pedagogy and Beyond

    22 Jan 2016 | Online Presentations | Contributor(s): Shaikh S. Ahmed

    As a postdoctoral researcher at NCN, during the years 2005-7, in addition to usual research activities, I was tasked with working closely with the nanoHUB Team to augment a few pre-existing...

    https://nanohub.org/resources/22727

  5. Polymer Synthesis and Characterization in the Cloud: a nanoHUB Classroom Experience

    22 Jan 2016 | Online Presentations | Contributor(s): Coray Colina

    In this talk, I’ll share the experience of teaching a junior undergraduate computational course in materials science and engineering, with over 70 participants. Both molecular and continuum...

    https://nanohub.org/resources/22726

  6. View of Uncertainty from a Mathematician doing Research at a Chemical Company

    22 Jan 2016 | Online Presentations | Contributor(s): James Sturnfield

    https://nanohub.org/resources/23289

  7. Pertinent and Exciting Uncertainty Quantification Problem Spaces in Materials and Manufacturing

    22 Jan 2016 | Online Presentations | Contributor(s): Amanda Criner

    A summary of a few exciting problem spaces will be given to demonstrate the breadth of pertinent uncertainty quantification problems to materials and manufacturing.

    https://nanohub.org/resources/23416

  8. nanoHUB: Not Just for PhDs

    20 Jan 2016 | Online Presentations | Contributor(s): Deb Newberry

    In 2004, Dakota County Technical College started a 2 year, AAS degree Nanoscience Technician program. This program has always involved an aspect of computer simulations, both in a specific...

    https://nanohub.org/resources/22725

  9. nanoHUB - Educational Tour de Force

    14 Jan 2016 | Online Presentations | Contributor(s): David K. Ferry

    nanoHUB was originally created to bring together the computational electronics world as a place where programs and results could be efficiently shared. For that purpose, it has matured and grown...

    https://nanohub.org/resources/22723

  10. Nano-Link: Never go in with a Blank Sheet of Paper

    14 Jan 2016 | Online Presentations | Contributor(s): Deb Newberry

    This presentation summarizes a proven approach that helps educators find, collect and refine the information that is needed to successfully work with industry and establish strong...

    https://nanohub.org/resources/23385

  11. E304 L3.1.1: Nanoscale Physics - The Challenges to Classical Physics

    13 Jan 2016 | Online Presentations | Contributor(s): Michael Escuti

    This is the first of six short lectures that provide an introduction to nanoscale physics. This segment summarizes three key challenges to the Classical understanding of physics,...

    https://nanohub.org/resources/23377

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.