Education group: Materials Science.
MATE 370 Virtual Lab: Exploring Nucleation, Crystallization, and Growth through nanoHUB Virtual Kinetics Tools
24 Sep 2020 | | Contributor(s):: Mohsen B Kivy, Crystal Ipong
This lab explores the kinetics of nucleation, crystallization, and growth processes using nanoHUB tools.
MATE 370 Virtual Lab: Exploring Phase Transformations Through nanoHUB Nanomaterial Mechanics Explorer Tool
This lab explores the kinetics of phase transformation using nanoHUB tools.
MATE 370 Virtual Lab: Exploring Diffusion through nanoHUB Defect- coupled and Concentration-dependent Diffusion Tools
This lab explores the kinetics of solid-state diffusion using nanoHUB tools.
Linear Regression Young's modulus
24 Sep 2020 | | Contributor(s):: Michael N Sakano, Saaketh Desai, Alejandro Strachan
Use linear regression to extract Young's modulus and yield stress from stress-strain data
Computational Labs in Kinetics of Materials and Process Design (California Polytechnic State University)
07 Sep 2020 | | Contributor(s):: Mohsen B Kivy, Crystal Ipong
Kinetics of Materials and Process Design (MATE 370) is a 4-unit major course for junior-year undergraduate students of the Materials Engineering Department, Cal Poly State University. The Materials Engineering Department endorses the applications of theory to practice through its...
Illustrative Mathematical Concepts
29 Jul 2020 | | Contributor(s):: Hae Ji Kwon, David R. Ely
Illustrates mathematical concepts and their applications
Interactive Learning Tools for Scientific Computing and Data Analysis Using R
29 Jul 2020 | | Contributor(s):: Cindy Nguyen, Rei Sanchez-Arias
Root-finding methods and numerical optimization techniques with applications in science, engineering, and data analysis
Data Analysis of Normal Data Sets in Engineering
24 Jul 2020 | | Contributor(s):: Joseph Joshua Williams, Nancy Ruzycki
Statistical and data analysis concepts in engineering
Matlab Data Analysis Using Jupyter Notebooks
24 Jul 2020 | | Contributor(s):: Jon Nykiel, Anna Leichty, Zachary D McClure, Alejandro Strachan, Aileen Ryan, Adrian Nat Gentry, Amanda Johnston, Tamara Jo Moore, Allen Garner, Peter Bermel
Use Jupyter Notebooks with a Matlab kernel running in the background for data analysis and intro to engineering homework problems
Materials Camp for High School Students
01 Jul 2020 | | Contributor(s):: Amber Genau
These activities were all developed for the Materials Camp program at the University of Alabama at Birmingham (UAB), which began in 2011. The camp is a five-day, non-residential program designed to introduce mostly local 10th-12th grade students to the field of materials engineering and the...
Balloon Skewer Relay Race
29 Jun 2020 | | Contributor(s):: Amber Genau
Do you think you could get a bamboo barbecue skewer through a balloon without popping it? With a little dish soap and some practice, I bet you could! Skewering a balloon is a fun and inexpensive way to demonstrate the structure-dependent properties of polymers. Polymers are made...
Materials Matching Mixer Activity
This materials-themed ice breaker activity is great for the first day of a camp program to get students thinking about basic material properties, as well as talking to each other and speaking out loud in front of the group. The name of a common engineering material (steel, rubber, concrete,...
Pineapple Packaging Design Challenge
This activity asks students to work in teams to consider the pros and cons of different materials as a container for cut pineapple (metal can plastic jar, glass jar). It reinforces the differences between different categories of material, weighing conflicting factors to reach a design...
Engineering Communication with Tinker Toys
This resource describes three variations on an engineering communication activity using Tinker Toys. In the main activity, small groups of students are given a bag of Tinker Toys and instructed to build anything they like. They are then asked to write down building instructions for...
Machine Learning Lab Module
12 Jun 2020 | | Contributor(s):: BENJAMIN AFFLERBACH, Rundong Jiang, Josh Tappan, DANE MORGAN
A lab activity for introduction to machine learning in materials science
Machine Learning Workshop for Materials Science
27 Jan 2020 | | Contributor(s):: Saaketh Desai
This workshop covers the fundamentals of machine learning and data science, with a focus on material science applications. This workshop includes a hands-on demonstration of the nanoHUB tool Machine Learning for Materials Science: Part 1.
MSEML: Machine Learning for Materials Science Tool on nanoHUB
This talk is a hands-on demonstration using the nanoHUB tool Machine Learning for Materials Science: Part 1.
Data Science and Machine Learning for Materials Science
22 Jan 2020 | | Contributor(s):: Saaketh Desai
This talk covers the fundamentals of machine learning and data science, focusing on material science applications. The talk is for a general audience, attempting to introduce basic concepts such as linear regression, supervised learning with neural networks including forward and back...
Simulating Precipitate Morphology using a Phase Field Model
01 Dec 2019 | | Contributor(s):: Susan P Gentry, Stephen DeWitt, Mingwei Zhang
For this activity, students investigate how precipitate morphology is affected by materials parameters such as anisotropic interfacial energy and misfit strain. They vary the materials parameters in a series of simulations utilizing the nanoHUB tool PRISMS-PF...