Tags: materials science

Description

Materials science is the understanding and application of properties of matter. Materials science studies the connections between the structure of a material, its properties, methods of processing and performance for given applications.

Please see the nanoHUB Group Materials Science for highlighted materials science related items.

For educators please see the nanoHUB group MSE Instructional Exchange

For the latest tools that combine materials science with machine learning and data science see the nanoHUB group Data Science and Machine Learning

All Categories (141-160 of 1193)

  1. nanoHUB: Online Simulation and Data

    Presentation Materials | 24 Sep 2020 | Contributor(s):: Alejandro Strachan

    These slides introduce nanoHUB, an open platform for online simulations and collaboration.

  2. Materials Science Education Champion Seminar Series

    Series | 07 Sep 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.

  3. Computational Labs in Kinetics of Materials and Process Design (California Polytechnic State University)

    Series | 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...

  4. Molecular Dynamics Simulations for Propulsion Applications

    Online Presentations | 26 Aug 2020 | Contributor(s):: Li Qiao

    In this talk, Prof. Qiao will discuss the use of molecular dynamics simulations to examine thermodynamics, transport properties, and fluid models of supercritical fuel systems.

  5. Data Analysis of Normal Data Sets in Engineering

    Tools | 24 Jul 2020 | Contributor(s):: Joseph Joshua Williams, Nancy Ruzycki

    Statistical and data analysis concepts in engineering

  6. Matlab Data Analysis Using Jupyter Notebooks

    Tools | 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

  7. Jul 22 2020

    Webinar 1: Simulating electronic properties of materials using ab initio modeling tools

    Summer 2020 Webinar SeriesUtilizing nanoHUB Tools for Materials Science EducationMany instructors of MSE courses have rapidly developed online learning modules in response to the COVID-19 pandemic....

    https://nanohub.org/events/details/1858

  8. Aerogel (Aerogel)

    Teaching Materials | 02 Jul 2020 | Contributor(s):: Nano-Link Center for Nanotechnology Education, Carol E. Bouvier, James J Marti, Rodfal Alberto Rodriguez (editor), María Teresa Rivera (editor)

    Los aerogeles son las sustancias semisólidas conocidas más livianas que existen. Los aerogeles de sílice o dióxido de silicio (SiO2) tienen la misma estructura química que la arena de sílice o el vidrio de las ventanas, pero tienen diferencias...

  9. Materials Camp for High School Students

    Series | 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...

  10. Nano-celulosa (Nanocellulose)

    Teaching Materials | 30 Jun 2020 | Contributor(s):: Nano-Link Center for Nanotechnology Education, kim Grady, Rich Wilkosz (editor), Rodfal Alberto Rodriguez (editor), María Teresa Rivera (editor)

    Este módulo le presenta a los estudiantes la nanotecnología, procesos y métodos que están siendo desarrollados para producir nano-fibras de celulosa fuertes y rígidas.  El módulo está diseñado para guiar a los estudiantes a...

  11. Balloon Skewer Relay Race

    Teaching Materials | 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

    Teaching Materials | 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

    Teaching Materials | 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

    Teaching Materials | 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. Nano-concreto (Nanocrete)

    Teaching Materials | 16 Jun 2020 | Contributor(s):: kim Grady, Jim Marti (editor), Deb Newberry (editor), Rodfal Alberto Rodriguez (editor), María Teresa Rivera (editor), Nano-Link Center for Nanotechnology Education

    Este módulo le presenta a los estudiantes la nanotecnología, procesos y métodos que están siendo probados por la industria para preparar productos y sistemas cementosos fuertes y livianos. El módulo lleva al estudiante a través del procesamiento de un...

  16. Spectrophotometry of Metal Nanoparticles

    Teaching Materials | 16 Jun 2020 | Contributor(s):: Chris Kaus, James J Marti, NNCI Nano

    This activity has students chemically synthesize gold and silver nanoparticles, measure the spectra of light absorption and transmission by these particles, compare these spectra to those of known-sized particles, and then estimate the size distribution of the particles they have made. By using...

  17. Celdas Solares con Tintes Fotosensibles (Dye-Sensetized Solar Cells)

    Teaching Materials | 16 Jun 2020 | Contributor(s):: Nano-Link Center for Nanotechnology Education, Frank Fernandes, Rodfal Alberto Rodriguez (editor), María Teresa Rivera (editor)

    Este módulo trabaja con la fabricación de una celda solar con tinte fotosensible (“DSC”, por sus siglas en inglés). Una “DSC” es, esencialmente, una celda foto-electroquímica; significa que una reacción química foto-inducida...

  18. SEM Image Segmentation Tutorial using SEM Image Processing Tool

    Teaching Materials | 16 Jun 2020 | Contributor(s):: Joshua A Schiller

    In this activity, students will learn about the use of image processing methods to analyze Scanning Electron Microscopy images using a technique known as Image Segmentation and the SEM Image Processing Tool. The purpose of this tutorial is demonstrate several methods for image masking:...

  19. Machine Learning Lab Module

    Tools | 12 Jun 2020 | Contributor(s):: BENJAMIN AFFLERBACH, Rundong Jiang, Josh Tappan, DANE MORGAN

    A lab activity for introduction to machine learning in materials science

  20. Hands-on Deep Learning for Materials

    Tools | 10 Jun 2020 | Contributor(s):: Saaketh Desai, Edward Kim, Vinay Hegde

    This tool introduces users to deep learning techniques such as convolutional neural networks and variational auto encoders from a materials standpoint