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Tags: teaching materials

All Categories (1-20 of 47)

  1. Exploration of the Oxidation Rate of Silicon Wafers via Simulation

    04 Nov 2014 | Teaching Materials | Contributor(s): Tanya Faltens

    This teaching resource is designed for instructors who would like to introduce exploration through simulation into their lessons on silicon oxidation.  Step-by-step instructions are provided...

    http://nanohub.org/resources/21669

  2. Exploring Thin Film Interference Colors through Simulation

    04 Nov 2014 | Teaching Materials | Contributor(s): Tanya Faltens

    This resource will guide instructors and independent learners through the process of simulating the reflections off of a thin film using the S4: Stanford Stratified Structure Solver simulation...

    http://nanohub.org/resources/21667

  3. MOSFET Simulation

    04 Oct 2013 | Tools | Contributor(s): Chen Shang, Sankarsh Ramadas, Tanya Faltens, derrick kearney, Krishna Madhavan

    Displays drain current as a function of source-drain voltage for different values of gate voltage, gate dimensions, substrate material, and oxide material in an n-type MOSFET.

    http://nanohub.org/resources/mosfetsat

  4. NCN Education Team: Student Research

    09 Apr 2014 | Online Presentations | Contributor(s): Kelsey Joy Rodgers, Oguz Hanoglu, Yi Kong

    http://nanohub.org/resources/20825

  5. Using nanoHUB to Introduce Middle School Students to Models and Simulations

    25 Mar 2014 | Teaching Materials | Contributor(s): Tanya Faltens

    This is a combination hands-on and simulation activity that will teach middle school students about the function and importance of modeling and simulations in science and engineering while...

    http://nanohub.org/resources/20667

  6. Mar 20 2014

    Cloud-based, fully interactive simulations via nanoHUB to enhance student learning of materials engineering concepts

    Interactive simulations and visualizations enable students to explore abstract concepts in a hands-on, concrete way. Students can gain familiarity with trends in materials behavior and develop a...

    http://nanohub.org/events/details/784

  7. Evaluating the Fermi Function at Ec

    09 Mar 2014 | Online Presentations | Contributor(s): Tanya Faltens

    Short narrated instruction giving step-by-step instructions for evaluating f(E) at Ec. The general method is explained,and a value is calculated for the specific case of Si at 300K.

    http://nanohub.org/resources/13912

  8. Evaluating the Fermi Function at Ec + 0.02 eV

    15 Oct 2013 | Teaching Materials | Contributor(s): Tanya Faltens

    This is a short animation explaining how to evaluate the fermi function, given a band diagram and an energy level of interest.

    http://nanohub.org/resources/19599

  9. [Illinois]: Posterior target probability given single-sensory input (delta rule)

    28 Jun 2013 | Tools | Contributor(s): Lisa Sproat, Jessica S Johnson, NanoBio Node

    Trains a single sigmoidal unit using the delta rule to estimate posterior target probability given sensory input of one modality (i.e., visual)

    http://nanohub.org/resources/unisensorydelta

  10. [Illinois]: Posterior probability of a target given single-sensory input (Bayes')

    28 Jun 2013 | Tools | Contributor(s): Lisa Sproat, Jessica S Johnson, NanoBio Node

    Computes the posterior probability of a target given sensory input of one modality (i.e., visual)

    http://nanohub.org/resources/unisensorybayes

  11. [Illinois]: Posterior probability of a target given input for two senses (Bayes')

    28 Jun 2013 | Tools | Contributor(s): Lisa Sproat, Jessica S Johnson, NanoBio Node

    Computes the posterior probability of a target given sensory input of two modalities (i.e., visual and auditory)

    http://nanohub.org/resources/bisensorybayes

  12. [Illinois]: Posterior probability of a target given input for two senses (delta)

    28 Jun 2013 | Tools | Contributor(s): Lisa Sproat, Jessica S Johnson, NanoBio Node

    Trains a single sigmoidal unit using the delta rule to estimate posterior target probability given sensory input of two modalities (i.e., visual and auditory)

    http://nanohub.org/resources/bisensorydelta

  13. [Illinois]: Posterior probabilities of hypothetical fish classes

    28 Jun 2013 | Tools | Contributor(s): Lisa Sproat, Jessica S Johnson, NanoBio Node

    Computes the posterior probabilities of each of three hypothetical fish classes using Bayes' rule

    http://nanohub.org/resources/fishbayesrule

  14. [Illinois]: Fish classification using back-propagation

    28 Jun 2013 | Tools | Contributor(s): Lisa Sproat, Jessica S Johnson, NanoBio Node

    Trains a three-layered network of sigmoidal units using back-propagation to classify fish according to their lengths

    http://nanohub.org/resources/fishbackprop

  15. [Illinois]: Sigmoidal unit training with the delta rule

    26 Jun 2013 | Tools | Contributor(s): Lisa Sproat, NanoBio Node, Jessica S Johnson

    Uses the delta rule to train a single sigmoidal unit with feedback to simulate the responses of neurons in the parabigeminal nucleus

    http://nanohub.org/resources/pbndeltarule

  16. [Illinois]: Predictor-corrector simulation of parabigeminal nucleus neural responses

    24 Jun 2013 | Tools | Contributor(s): Lisa Sproat, NanoBio Node, Jessica S Johnson

    Implements a predictor-corrector simulation of the responses of neurons in the parabigeminal nucleus

    http://nanohub.org/resources/pbnpredict

  17. [Illinois]: Midbrain dopamine neuron responses to temporal-difference learning

    21 Jun 2013 | Tools | Contributor(s): Lisa Sproat, Jessica S Johnson, NanoBio Node

    Simulates the responses of midbrain dopamine neurons using temporal difference learning

    http://nanohub.org/resources/midbraindopamin

  18. Locust-flight central pattern generator

    06 Jun 2013 | Tools | Contributor(s): Lisa L Sproat, NanoBio Node, Jessica S Johnson

    Implements a linear version of Wilson's model of the locust-flight central pattern generator

    http://nanohub.org/resources/wilsoncpg

  19. [Illinois]: Two leaky integrators in series

    31 May 2013 | Tools | Contributor(s): Lisa L Sproat, John Feser, Jessica S Johnson, NanoBio Node

    Implements a model having two units (leaky integrators) in series, each with recurrent, excitatory self-connections allowing the units to exert positive feedback on themselves

    http://nanohub.org/resources/twoleakseries

  20. Unit Cell Ranking Tasks

    15 Oct 2012 | Teaching Materials | Contributor(s): Tanya Faltens

    This set of ranking tasks is designed to help the learner work with and understand some of the features of common structures: planar densities, atomic densities, atomic packing factor and...

    http://nanohub.org/resources/15427

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