
MIT AtomicScale Modeling Toolkit
15 Jan 2008   Contributor(s):: daniel richards, Elif Ertekin, Jeffrey C Grossman, David Strubbe, Justin Riley, Enrique Guerrero
Tools for AtomicScale Modeling

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
24 Sep 2020   Contributor(s):: Mohsen B Kivy, Crystal Ipong
This lab explores the kinetics of phase transformation using nanoHUB tools.

MATE 370 Virtual Lab: Exploring Diffusion through nanoHUB Defect coupled and Concentrationdependent Diffusion Tools
24 Sep 2020   Contributor(s):: Mohsen B Kivy, Crystal Ipong
This lab explores the kinetics of solidstate diffusion using nanoHUB tools.

Linear Regression Young's modulus
16 Sep 2020   Contributor(s):: Michael N Sakano, Saaketh Desai, Alejandro Strachan
Use linear regression to extract Young's modulus and yield stress from stressstrain data

Materials Science Education Champion Seminar Series
14 Aug 2020   Contributor(s):: Susan P Gentry
This webinar series will highlight computer simulation modules that are used by MSE educators around the country. Each topical webinar will feature a presentation by MSE faculty that use the tools as well as time for group discussion.

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 4unit major course for junioryear 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 SanchezArias
Rootfinding 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 fiveday, nonresidential program designed to introduce mostly local 10th12th 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 structuredependent properties of polymers. Polymers are made...

Materials Matching Mixer Activity
29 Jun 2020   Contributor(s):: Amber Genau
This materialsthemed 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
29 Jun 2020   Contributor(s):: Amber Genau
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
29 Jun 2020   Contributor(s):: Amber Genau
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

Rachel Altovar
I study Materials Science and Engineering at UC Davis. I will be working with Dr. Susan Gentry on the PRISMSPF tool and on educational tools for simulation using nanoHUB. I am a part of the NCN...
https://nanohub.org/members/277583

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 handson demonstration of the nanoHUB tool Machine Learning for Materials Science: Part 1.

MSEML: Machine Learning for Materials Science Tool on nanoHUB
27 Jan 2020   Contributor(s):: Saaketh Desai
This talk is a handson demonstration using the nanoHUB tool Machine Learning for Materials Science: Part 1.