Description

Resources (1-20 of 62)

1. Hands-on Teaching with Jupyter Notebooks on nanoHUB

   04 Oct 2022 | | Contributor(s):: Michael Earl Reppert

   Dr. Reppert will discuss his use of nanoHUB Jupyter Notebook-based content in college Chemistry courses, focusing on nanoHUB's unique possibilities for hands-on simulation, visualization, and programming projects.

2. Scientific Data Visualization using Python

   09 Jun 2022 | | Contributor(s):: Jessica Nash, Ashley Ringer McDonald

   This lecture looks at scientific data visualization using matplotlib, plotly, and visulizing molecular structures using scientific NGLView.

3. Incorporating Notebooks in STEM Classes and Deploying Interactive Applications

   10 Aug 2021 | | 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...

4. Introduction to dplyr, ggplot2 and Other tidyverse Friends: Modern Tools for Data Exploration and Visualization

   08 Jul 2021 | | Contributor(s):: Rei Sanchez-Arias

   In recent years, interest in the development of predictive models and the use of machine learning libraries has grown rapidly. As part of the efficient implementation of different models, a fundamental component of this process deals with data preparation and cleaning, followed by exploration,...

5. Utilizing Modern Data Exploration and Visualization Tools for STEM Applications and Datasets

   08 Jul 2021 | | Contributor(s):: Rei Sanchez-Arias

   If you're an instructor in a STEM field who wants to add a data science component to an existing course, this series will give you the tools. You'll leave these sessions with practical knowledge that will empower your students.Topics include:Data preparation and cleaningData...

6. Art Waves

   13 Oct 2020 |

   ArtWaves is an experimental visual feedback system that examines the relationship between brain signals, computing, design, visualization, and visual expression.

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

   07 Oct 2020 | | 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.

8. Module 2: Querying Materials Data Repositories

   30 Sep 2020 | | Contributor(s):: Zachary D McClure, Alejandro Strachan

   This module introduces modern tools for data acquisition, including performing large queries using application programming interfaces (APIs), with hands-on online workflows. Cyber-infrastructure platforms for data offer unparalleled access to data, this module will introduce tools to manage,...

9. Neural Network Visualization Tool

   21 Sep 2020 | | Contributor(s):: David Enrique Farache, Alejandro Strachan, Juan Carlos Verduzco Gastelum, Saaketh Desai

   Develops a graph of the neural network that can be manipulated to isolate data

10. FIFA 2010 visualization

    04 Mar 2020 | | Contributor(s):: Rei Sanchez-Arias

    Data visualization of players that participated in the FIFA 2010 tournament

11. AIDA: A tool for exhaustive enumeration of solutions to the quantized Frank-Bilby equation

    08 Jan 2018 | | Contributor(s):: Ali Sangghaleh, Michael J. Demkowicz

    We present a tool called Arrangement of Interface Dislocation Arrays (AIDA) for enumerating all dislocation networks that satisfy the quantized Frank-Bilby equation for any interface between cubic crystals with a single-atom basis, i.e. FCC/FCC, BCC/BCC, and FCC/BCC interfaces. The set of...

12. High-Resolution, High-Speed 3D Imaging and Applications

    20 Jul 2017 | | Contributor(s):: Song Zhang

13. Introduction to Visualization

    19 Oct 2016 | | Contributor(s):: Vetria L. Byrd

14. Exploring Materials Properties with Nanomaterial Mechanics Explorer Structure Files

    24 Mar 2016 | | Contributor(s):: Tanya Faltens

    This document describes how to generate and download simulation output files from the Nanomaterial Mechanics Explorer on nanoHUB and view them locally using OVITO. This can be particularly useful for more advanced manipulations of the trajectory files, and for sharing files with others, such...

15. MSE 498 Lesson 12: MD

    17 Mar 2015 | | Contributor(s):: Andrew Ferguson

    This new course will give students hands-on experience with popular computational materials science and engineering software through a series of projects in: electronic structure calculation (e.g., VASP), molecular simulation (e.g., GROMACS), phase diagram modeling (e.g., Thermo-Calc), finite...

16. MSE 498 Lesson 13: MD

    17 Mar 2015 | | Contributor(s):: Andrew Ferguson

    This new course will give students hands-on experience with popular computational materials science and engineering software through a series of projects in: electronic structure calculation (e.g., VASP), molecular simulation (e.g., GROMACS), phase diagram modeling (e.g., Thermo-Calc), finite...

17. [Illinois] Introduction to Cell Visualization

    14 Jun 2013 | | Contributor(s):: Emad Tajkhorshid

    Professor Emad Tajkhorshid speaks to University Laboratory High School students about his research in Computational Studies of Membranes and Membrane Associated PhenomenaMembrane proteins are of critical importance for all living cells. They are responsible for exchange of materials and...

18. Rappture Bootcamp 2.5: Advanced Visualization

    16 Jul 2012 | | Contributor(s):: Michael McLennan

19. Computer Graphics Imagery for Motion Pictures and Commercial Advertising: The Achievement of Highly-Realistic Images

    19 Aug 2011 | | Contributor(s):: Kenneth Torrance

    The talk will review some of the underlying concepts from Radiation Heat Transfer that have now been implemented in synthetic images. In many cases, researchers in graphics have created algorithms that are many times faster and more detailed than the engineering algorithms from which they were...

20. Electron Density in a Nanowire

    30 Jan 2011 | | Contributor(s):: Gerhard Klimeck, Saumitra Raj Mehrotra

    Electron Density in a circular Silicon nanowire transistor.