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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.
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PNJunction Lab Exploration Tool
06 Oct 2020 | Contributor(s): Daniel Mejia, Alejandro Strachan, Saaketh Desai
PNJunction Lab Exploration Tool
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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
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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.
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Introduction to nanohub remote
03 Oct 2020 | Contributor(s): Daniel Mejia, Alejandro Strachan, Saaketh Desai
Introduction to nanohub remote
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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.
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Posterity Scholar House Overview
13 Oct 2020 | Online Presentations | Contributor(s): Gary Hobbs
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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,...
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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...
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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...
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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.
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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.
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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...
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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.
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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.
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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.
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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...
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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...
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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"...
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"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...