Tags: visualization


Simulators can produce all sorts of numbers, but the numbers themselves aren't terribly meaningful until they are put into context by visualization techniques. For example, the coordinates of the various atoms in a molecule don't readily convey the shape of the molecule, but once those coordinates are loaded into VMD, the the resulting picture conveys not only the shape of the molecule, but other important properties as well.

Learn more about visualization techniques from the resources on this site, listed below.

All Categories (1-20 of 73)

  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. James Curtis Belt


  8. 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.

  9. 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,...

  10. 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

  11. FIFA 2010 visualization

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

    Data visualization of players that participated in the FIFA 2010 tournament

  12. What is the tool you used for that visualization box?

    Q&A|Closed | Responses: 2


  13. 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...

  14. Muhammad Bilal

    Bilal’s research focuses on data-driven solutions for the environmental and health impact assessment of engineered nanomaterials (ENMs) using advanced machine learning/data mining and simulation...


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

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

  16. Engr. Nayab Bukhari Syed

    AWS System Manager | LMS Moodle A-Z| Databases | Hosting ProviderSince 2000 working in Computer industry. 10+ years experience in web design & development with different DB environments (MySql,...


  17. MD Showcase: Epoxy uniaxial tension

    Collections | 31 Oct 2016 | Posted by Lorena Alzate-Vargas


  18. Introduction to Visualization

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

  19. Michael Worku


  20. Galina Shadrina