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  1. A Look into the Nanoworld: An introduction to Nanoscale Science and Engineering

    23 Aug 2021 | Teaching Materials | Contributor(s): NNCI Nano, Jackie Smith

    This is a four-part lesson that has students explore the nanoscale. The lesson includes: size and scale, metric system and conversions, measurement, nanotechnology applications, and careers in nano-science. The activities can be done in groups of 2-4 and requires viewing of videos.

  2. Finite Difference Methods for Transport Phenomena

    08 Sep 2021 | Tools | Contributor(s): Mia Lee Maciorowski, Nikhil Karthikeyan, Ulf Schiller

    Introduction to Finite Difference Methods for Transport Phenomena

  3. Purdue Physical Chemistry Lab CHM37301

    16 Aug 2021 | Tools | Contributor(s): Michael Earl Reppert

    This tool is a front-end for content for the Purdue Physical Chemistry Laboratory CHM37301. It fetches updates automatically from the github.com/mreppert/CHM37301content project.

  4. OctopusPY: Tool for Calculating Effective Mass from Octopus DFT Bandstructures

    16 Aug 2021 | Downloads | Contributor(s): Olivia M. Pavlic, Austin D. Fatt, Gregory T. Forcherio, Timothy A. Morgan, Jonathan Schuster

    OctopusPY is a Python package supporting manipulation and analytic processing of electronic band structure data generated by the density functional theory (DFT) software Octopus. In particular, this package imports Octopus-calculated band structure for a given material and...

  5. Incorporating Notebooks in STEM Classes and Deploying Interactive Applications

    10 Aug 2021 | Online Presentations | Contributor(s): Rei Sanchez-Arias

    In this talk we discuss how notebooks can be introduced as working examples for hands-on classwork activities in different courses. We also briefly discuss the development and deployment of interactive applications useful for data exploration, analysis, and reporting, that users can host as...

  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. CHEM 870 Tutorial 01a: Getting to know nanoHUB and Ab-initio Calculations

    20 Dec 2021 | Online Presentations | Contributor(s): Nicole Adelstein

    The goal of these activities is for you to get comfortable with running electronic structure calculations. We will be using the ORCA GUI housed on nanoHUB to start. ORCA can be run from the command line too.

  8. CompuCell3D - Avascular Tumor Growth and Mutation

    25 May 2023 | Tools | Contributor(s): Juliano Ferrari Gianlupi

    Avascular tumor, growing on nutrient, self-limited, mutates

  9. Blockchain and proof of work lab

    16 Dec 2021 | Tools | Contributor(s): Oneal Douglin, Yu-Chung Chang, Alfonso Daniel Meraz, Shivam Tripathi, Brian Hyun-jong Lee, Alejandro Strachan

    Learn about blockchain with apps and interactive computing

  10. How to Create a Project on nanoHUB

    19 Oct 2021 | Online Presentations | Contributor(s): Joseph M. Cychosz

    This short tutorial shows how to create projects on nanoHUB. It specifically explains how to manage team members for projects.

  11. How to Learn II

    27 Oct 2021 | Online Presentations | Contributor(s): Michael Melloch

    Learning is the process of developing mental models. A mental model is a mental representation of some external reality. These mental models should become progressively more complex as we deepen our understanding with study....

  12. How to update your nanoHUB Profile

    13 Oct 2021 | Teaching Materials | Contributor(s): Tanya Faltens

    This document goes over the steps to create a professional-looking nanoHUB profile and set your nanoHUB communications preferences.

  13. Autonomous Neutron Diffraction Explorer

    01 Nov 2021 | Tools | Contributor(s): Austin McDannald

    Autonomously control neutron diffraction experiments to discover order parameter.

  14. 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...

  15. MatSci 395 Lecture 6: How Do Convolutional Neural Networks Work?

    01 Nov 2021 | Online Presentations | Contributor(s): Tiberiu Stan

  16. MatSci 395 Lecture 5: MatCNN In-Class Tutorial

    01 Nov 2021 | Online Presentations | Contributor(s): Tiberiu Stan

    Access MatCNN by clicking here

  17. MatSci 395 Lecture 4: Neural Network Training

    07 Oct 2021 | Online Presentations | Contributor(s): Tiberiu Stan

  18. MatSci 395 Lecture 3: How Do Neural Networks Work?

    07 Oct 2021 | Online Presentations | Contributor(s): Tiberiu Stan

  19. MatSci 395 Lecture 2.1: Solidification & X-Ray Computed Tomography

    07 Oct 2021 | Online Presentations | Contributor(s): Tiberiu Stan

  20. MatSci 395 Lecture 1: Introduction to Machine Learning, Materials Imaging, and Segmentation

    29 Sep 2021 | Online Presentations | Contributor(s): Tiberiu Stan