Tags: NCN Group - Materials Science

Description

Education group: Materials Science.

Materials Science.

All Categories (1-20 of 158)

  1. 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.

  2. 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.

  3. 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.

  4. 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

  5. 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...

  6. Illustrative Mathematical Concepts

    29 Jul 2020 | | Contributor(s):: Hae Ji Kwon, David R. Ely

    Illustrates mathematical concepts and their applications

  7. 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

  8. 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

  9. 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

  10. 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...

  11. 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...

  12. 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,...

  13. 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...

  14. 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...

  15. 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

  16. 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

  17. 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.

  18. 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.

  19. 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...

  20. 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...