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  1. Semiconductor Device Modeling and Simulation

    16 Oct 2023 | Courses | Contributor(s): Dragica Vasileska

    This course is currently in development. Items will be deployed as they develop.Outline:Computational ElectronicsCrystallography and BandstructureCrystallographyDirect LatticeReciprocal LatticeMiller IndicesBandstructureBonding and Bands: General considerationsTools on the...

  2. ECE 606: Solid State Devices I

    20 Jul 2023 | Courses | Contributor(s): Gerhard Klimeck

    This course provides the graduate-level introduction to understand, analyze, characterize and design the operation of semiconductor devices such as transistors, diodes, solar cells, light-emitting devices, and more.The material will primarily appeal to electrical engineering students whose...

  3. TANMS/MESA Introduction to Principles and Application of Electromagnitism

    15 May 2023 | Courses | Contributor(s): TANMS UCLA

    In this course students apply principles of science and math, and the engineering design process towards developing two projects related to various disciplines in engineering and concepts of electromagnetism.

  4. Getting Started Guide for nanoHUB Tool and App Developers

    07 Feb 2023 | Courses | Contributor(s): Alejandro Strachan

    This short course "Getting Started Guide for nanoHUB Tool and App Developers" covers the following topics:Why publish tools & apps in nanoHUB?Various tool and app typesSim2Ls: FAIR workflows and dataApp Developmentreadthedocs sim2lbuilder latest...

  5. ECE 512: Digital Systems Design Automation

    24 Jan 2023 | Courses | Contributor(s): Anand Raghunathan

    NOTE: This course is currently in production. New lectures will be available as they are produced.Digital integrated circuits used in electronic computing systems (including cell phones, personal computers, servers, wearable devices, network routers and automotive electronics) are entirely or...

  6. CHEM 870: Computational Methods in Chemistry - Electronic Structure

    20 Dec 2021 | Courses | Contributor(s): Nicole Adelstein

    Computational Methods in Chemistry is a course that introduces the theory and practice (skills) necessary to perform electronic structure calculations.

  7. Machine Learning in Materials Science: Image Analysis Using Convolutional Neural Networks in MatCNN

    03 Nov 2021 | Courses | Contributor(s): Tiberiu Stan, Jim James, Nathan Pruyne, Marcus Schwarting, Jiwon Yeom, Peter Voorhees, Ben J Blaiszik, Ian Foster, Jonathan D Emery

      This course introduces fundamental concepts of artificial intelligence within the context of materials science and image segmentation. The two-week module was taught as part of a Computational Methods in Materials Science course at Northwestern University. The module is aimed at...

  8. Gr-ResQ (Graphene Rescue) Tool Tutorial & Training

    03 Jun 2021 | Courses | Contributor(s): Mitisha Surana

    This hands-on tutorial will introduce users to the Gr-ResQ (‘graphene rescue’) platform. Gr-ResQ is (i) an open, crowd-sourced database of recipes and characterization of graphene synthesized by chemical vapor deposition, (ii) a set of analysis tools that enable users to analyze the...

  9. S4 Tutorial

    08 Apr 2021 | Courses | Contributor(s): Jie Zhu, Enas Sakr, Peter Bermel

    This three part tutorial for the S4 tool on nanoHUB and is designed for the nanoHUB IGNITE challenge. In the tutorial, we give an overview of the S4 electromagnetic simulation tool, and demonstrate the basic features through three examples. In the first example, we explain how a plane wave...

  10. Short Course on FinFET Simulation using MuGFET

    05 Mar 2021 | Courses | Contributor(s): Ashish anil Bait

    This short course present how to use nanohub MuGFET tool to simulate FinFET or double gate model. It provides a short background on FinFET followed by instructions on how to use the MuGFET tool for the FinFET simulation.

  11. Hands-On Data Science and Machine Learning in Undergraduate Education

    07 Oct 2020 | Courses | Contributor(s): Alejandro Strachan, Saaketh Desai, Juan Carlos Verduzco Gastelum, Michael N Sakano, Zachary D McClure, Joseph M. Cychosz, Jared Gray West

    This series of modules introduce key concepts in data science in the context of application in materials science and engineering.

  12. Micromagnetics and OOMMF Tutorial Series

    20 Aug 2020 | Courses | Contributor(s): Michael Joseph Donahue

    Background readingThe following papers provide nice introductions to micromagnetics theory and practice:Micromagnetism by Lukas Exl, Dieter Suess and Thomas Schrefl.General Micromagnetic Theory and Applications, Helmut Kronmüller in Materials Science and Technology, 2019 Wiley-VCH Verlag...

  13. DRC 2020 Short Course: Devices for IoT – Device Opportunities in the Emerging Era of Internet of Things

    29 Jun 2020 | Courses | Contributor(s): Swaroop Ghosh, Younghyun Kim, Shreyas Sen, Michael Goldflam (editor), Saptarshi Das (editor)

  14. Hands-on Data Science and Machine Learning Training Series

    21 Apr 2020 | Courses | Contributor(s): Alejandro Strachan, Saaketh Desai, Arun Kumar Mannodi Kanakkithodi

    his series of workshops introduces participants to important concepts and techniques in data science and machine learning in the context engineering and physical sciences applications. All workshops include hands-on activities.

  15. ECE 595AL: Advanced Lithography

    24 Feb 2020 | Courses

  16. ECE 595M - Microfabrication Fundamentals

    17 Jan 2020 | Courses | Contributor(s): Minghao Qi

    Spring 2020 - This course is in production

  17. ECE 595ML: Machine Learning I

    17 Jan 2020 | Courses | Contributor(s): Stanley H. Chan

    Spring 2020 - This course is in productionCourse Website: https://engineering.purdue.edu/ChanGroup/ECE595/index.htmlCourse Outline:Part 1: Mathematical BackgroundLinear Regression and OptimizationPart 2: ClassificationMethods to train linear classifiersFeature analysis, Geometry, Bayesian...

  18. Introduction to Thermoelectricity

    17 Oct 2019 | Courses | Contributor(s): Mark Lundstrom, Ali Shakouri

    A short course designed to introduce semiconductor scientists and engineers to thermoelectric science and technology. The first module (by Lundstrom) is on the theory of thermoelectricity with the goal of understanding the thermoelectric transport coefficients. The second module (by Shakouri)...

  19. Perspectives on High-Performance Computing in a Big Data World

    30 Sep 2019 | Courses | Contributor(s): Fox, Geoffrey C.

    This course was deleivered at ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC).High-Performance Computing (HPC) and Cyberinfrastructure have played a leadership role in computational science even since the start of the NSF computing centers program. Thirty...

  20. Mini Course on Physical Models

    04 Sep 2019 | Courses | Contributor(s): Bruno Uchoa

    This mini-course of four lectures is intended to stimulate undergraduate students to think critically about the the modeling process in physics.