Resources: All

Find a resource
  1. Photosynthetic Protein Spectroscopy Lab

    19 Oct 2020 | Contributor(s): Safa Ahad, Chientzu Lin, Michael Earl Reppert

    This tool parses PDB structures of photosynthetic proteins to identify pigments, calculate inter-pigment interactions, and simulate optical spectra for the complex.

  2. PNJunction Lab Exploration Tool

    06 Oct 2020 | Contributor(s): Daniel Mejia, Alejandro Strachan, Saaketh Desai

    PNJunction Lab Exploration Tool

  3. DFT Results Explorer

    17 Feb 2021 | Contributor(s): Saaketh Desai, Juan Carlos Verduzco Gastelum, Daniel Mejia, Alejandro Strachan

    Use visualization tools to explore correlations in a DFT simulation results database

  4. Thermal Conductivity Simulator

    03 Dec 2020 | Contributor(s): Md Shajedul Hoque Thakur, Md Mahbubul Islam

    Simulate thermal conductivity of Silicon using reverse non-equilibrium molecular dynamics simulations.

  5. Introduction to nanohub remote

    03 Oct 2020 | Contributor(s): Daniel Mejia, Alejandro Strachan, Saaketh Desai

    Introduction to nanohub remote

  6. Art Waves

    13 Oct 2020 | Online Presentations

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

  7. Posterity Scholar House Overview

    13 Oct 2020 | Online Presentations | Contributor(s): Gary Hobbs

  8. Module 2: Querying Materials Data Repositories

    30 Sep 2020 | Online Presentations | 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. Module 5: Neural Networks for Regression and Classification

    01 Oct 2020 | Online Presentations | Contributor(s): Saaketh Desai, Alejandro Strachan

    This module introduces neural networks for material science and engineering with hands-on online simulations. Neural networks are a subset of machine learning models used to learn mappings between inputs and outputs for a given dataset. Neural networks offer great flexibility and have shown...

  10. Module 4: Linear Regression Models

    01 Oct 2020 | Online Presentations | Contributor(s): Michael N Sakano, Saaketh Desai, Alejandro Strachan

    This module introduces linear regression in the context of materials science and engineering. We will apply liner regression to predict materials properties and to explore correlations between materials properties via hands-on online simulations. Linear regression is a supervised machine...

  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. Matlab Coding and Data Analysis in the Context of Radiation Hardening

    01 Oct 2020 | Tools | Contributor(s): Amanda Johnston, Alejandro Strachan, Congying Wang, Adrian Nat Gentry, Zachary D McClure, Tamara J. Moore, Anne DeLion, Lukas Beebe Diehm, Zofia Marta Stawiarska

    Learn Matlab coding within the context of Radiation Hardening problems.

  13. Module 7: Active Learning for Design of Experiments

    30 Sep 2020 | Online Presentations | Contributor(s): Alejandro Strachan, Juan Carlos Verduzco Gastelum

    This module introduces active learning in the context of materials discovery with hands-on online simulations. Active learning is a subset of machine learning where the information available at a given time is used to decide what areas of space to explore next. In this module, we will explore...

  14. MATE 370 Virtual Lab: Exploring Diffusion through nanoHUB Defect- coupled and Concentration-dependent Diffusion Tools

    24 Sep 2020 | Teaching Materials | Contributor(s): Mohsen B Kivy, Crystal Ipong

    This lab explores the kinetics of solid-state diffusion using nanoHUB tools.

  15. MATE 370 Virtual Lab: Exploring Nucleation, Crystallization, and Growth through nanoHUB Virtual Kinetics Tools

    24 Sep 2020 | Teaching Materials | Contributor(s): Mohsen B Kivy, Crystal Ipong

    This lab explores the kinetics of nucleation, crystallization, and growth processes using nanoHUB tools.

  16. MATE 370 Virtual Lab: Exploring Phase Transformations Through nanoHUB Nanomaterial Mechanics Explorer Tool

    24 Sep 2020 | Teaching Materials | Contributor(s): Mohsen B Kivy, Crystal Ipong

    This lab explores the kinetics of phase transformation using nanoHUB tools.

  17. MODULE 3 - Structures: "Turning Fruit Juice into Graphene Quantum Dots" Supplementary Lesson Plans: Going Atomic

    15 Nov 2020 | Teaching Materials | Contributor(s): Rachel Altovar, Susan P Gentry

    In MODULE 3- Structures in the "Turning Fruit Juice into Graphene Quantum Dots" Supplementary Lesson Plans, crystal structures and systems are investigated. This module relates back to graphene and how its structure relates back to its unique properties in comparison to other forms of...

  18. MODULE 2 - Sizes: "Turning Fruit Juice into Graphene Quantum Dots" Supplementary Lesson Plans: Going Atomic

    13 Nov 2020 | Teaching Materials | Contributor(s): Rachel Altovar, Susan P Gentry

    The next installment of Turning Fruit Juice into Graphene Quantum Dots" Supplementary Lesson Plans delves into the concept of size and how materials and their properties may change at the macro-, micro-, and nanoscale. Activities include viewing images from a microscope to determine...

  19. MODULE 1 - Graphene: "Turning Fruit Juice into Graphene Quantum Dots" Supplementary Lesson Plans: Going Atomic

    13 Nov 2020 | Teaching Materials | Contributor(s): Rachel Altovar, Susan P Gentry

    The first module in "Turning Fruit Juice into Graphene Quantum Dots" Supplementary Lesson Plans, explores the material, graphene, how it was discovered, and the unique properties that it has. The activity paired with this lesson plan re-creates the famous "sticky-tape"...

  20. "Turning Fruit Juice into Graphene Quantum Dots" Supplementary Lesson Plans: Going Atomic

    15 Nov 2020 | Series | Contributor(s): Rachel Altovar, Susan P Gentry

    Expanding on the pre-existing resource on nanoHUB: “Turning Fruit Juice into Graphene Quantum Dots” this resource expands on the concepts in the experimental guide to give a comprehensive overview of materials pertaining to concepts and ideas within the...