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MIT Atomic-Scale Modeling Toolkit
15 Jan 2008 | | Contributor(s):: David A Strubbe, Enrique Guerrero, daniel richards, Elif Ertekin, Jeffrey C Grossman, Justin Riley
Tools for Atomic-Scale Modeling
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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.
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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.
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MATE 370 Virtual Lab: Exploring Diffusion through nanoHUB Defect- coupled and Concentration-dependent Diffusion Tools
24 Sep 2020 | | Contributor(s):: Mohsen B Kivy, Crystal Ipong
This lab explores the kinetics of solid-state diffusion using nanoHUB tools.
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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 stress-strain data
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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.
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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...
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Illustrative Mathematical Concepts
29 Jul 2020 | | Contributor(s):: Hae Ji Kwon, Mike Jovanovich, David R. Ely
Illustrates mathematical concepts and their applications
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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
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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
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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
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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...
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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...
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Materials Matching Mixer Activity
29 Jun 2020 | | Contributor(s):: Amber Genau
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,...
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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...
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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...
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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
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Rachel Altovar
I study Materials Science and Engineering at UC Davis. I will be working with Dr. Susan Gentry on the PRISMS-PF tool and on educational tools for simulation using nanoHUB. I am a part of the NCN...
https://nanohub.org/members/277583
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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.
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MSEML: Machine Learning for Materials Science Tool on nanoHUB
27 Jan 2020 | | Contributor(s):: Saaketh Desai
This talk is a hands-on demonstration using the nanoHUB tool Machine Learning for Materials Science: Part 1.