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 (1-20 of 1127)

  1. Oct 05 2022

    Density Functional Theory: Introduction and Applications with Prof. André Schleife

    Density Functional Theory: Introduction and ApplicationsDate and TimeOctober 5, 2022; 1:30 - 2:45 PM EDTPresenterAndré Schleife, Ph.D., Associate Professor at University of Illinois at...

    https://nanohub.org/events/details/2232

  2. Summer Research at Princeton University

    26 Sep 2022 |

    This presentation discusses some of the undergraduate summer research opportunities available.

  3. RAIN Network: Scanning Electron Microscope

    26 Sep 2022 | | Contributor(s):: Paul D. Asimow

  4. Sep 13 2022

    MAST-ML and Machine Learning Lab Module Workshop

    Join nanoHUB for a two-part set of  back-to-back ML workshops. Part I is an introduction to Machine Learning for Materials Science that is appropriate for people with no prior experience...

    https://nanohub.org/events/details/2229

  5. CHEM 870 Tutorial 6b: Binding Energy, DFT, and CO2 Capture II

    04 Sep 2022 | | Contributor(s):: Nicole Adelstein

    The main goal of these activities is to calculate the binding energy of CO2 to linker molecules in metal organic frameworks (MOFs). CO2 is a greenhouse gas. One necessary component of combating climate change is removing CO2 from the atmosphere. We will use density functional theory (DFT)...

  6. Microstructure Modeling with OOF2 and OOF3D

    26 Aug 2022 | | Contributor(s):: Andrew Reid, Stephen Langer

    The OOF object-oriented finite element software, developed at the National Institute of Standards and Technology, provides an interactive FEM tool which packages sophisticated mathematical capabilities with a user-interface that speaks the language of materials science...

  7. Why You Should Care About Crystals

    21 Aug 2022 | | Contributor(s):: Aerielle Rodriguez, Rice University

    Why are Crystals important for material engineering? This project tested different crystals with varying band gaps in order to demonstrate the relationship between observable optical properties and physical properties of crystals.

  8. Properties of Nanomaterials

    30 Jul 2022 | | Contributor(s):: Mariel Kolker, Peter Kazarinoff, NACK Network

  9. Ultrafast Spectroscopy of Nanomaterials

    17 Jun 2022 | | Contributor(s):: Aziz Boulesbaa

  10. Colorful and Smart Nanoscale Materials

    17 Jun 2022 | | Contributor(s):: Yadong Yin

  11. Integrating Microelectronics Contexts into Engineering Classrooms: Thermo-Calc Online Tool for the Design of Solder Materials

    20 May 2022 | | Contributor(s):: Congying Wang

    This presentation will first present how industrial soldering practices can be contextualized into current engineering classrooms, especially in materials science, to provide students with situated learning experiences. Then we will demonstrate how Thermo-Calc can be utilized as an effective...

  12. May 11 2022

    Integrating microelectronics contexts into engineering classrooms: Thermo-Calc online tool for the design of solder materials

    Join us for a hands-on Thermo-Calc workshop! You will learn how industrial soldering practices can be contextualized into current engineering classrooms to provide students with situated...

    https://nanohub.org/events/details/2177

  13. Message-Passing Neural Networks for Molecular Property Prediction Using Chemprop

    06 May 2022 | | Contributor(s):: Kevin Greenman

    Chemprop is an open-source implementation of a directed message passing neural network (D-MPNN) that has been demonstrated to be successful in predicting a variety of molecular properties, including solvation properties, optical properties, infrared spectra, and toxicity....

  14. URE Experience - DFT Thermoelectric Calculations

    15 Apr 2022 | | Contributor(s):: Gustavo Javier

    Gustavo discusses his experience in the 2015 NCN URE program and his work to develop a thermoelectric simulation for the nanoHBU tool DFT Material Properties Simulator . Gustavo Javier now teaches high school physics in the Los Angeles area.The DFT Material Properties Simulator can compute...

  15. LAMMPS Data File Generator Tool Demo

    15 Apr 2022 | | Contributor(s):: Carlos Miguel Patiño

    A quick demonstration of the nanoHUB tool LAMMPS Data-File Generator. This was developed as part of the 2017 NCN URE program.

  16. Learning and Teaching Data Science using nanoHUB’s Cloud Resources

    18 Mar 2022 | | Contributor(s):: Alejandro Strachan

    This talk will discuss how data science is accelerating innovation in STEM fields. These tools enable the efficient handling of valuable data, the identification of patterns in large data collections, the development of predictive models, and the optimal design of experiments.

  17. Quinn Michael Grudzinski

    https://nanohub.org/members/358536

  18. OOF2 Tutorial

    10 Feb 2022 | | Contributor(s):: Kei Yamamoto

    A tutorial for the tool OOF2 - Finite Element Analysis of MicrostructuresOOF2 is designed to help materials scientists calculate macroscopic properties from images of real or simulated microstructures. It reads an image, assigns material properties to features in the image, and conducts virtual...

  19. Lessons from Nanoscience: A Lecture Notes Series

    31 Jan 2022 | | Contributor(s):: Mark Lundstrom (editor)

    The focus of the series is on electronics, but volumes in areas of nanoscience and technology broadly related to electronics will be also be considered, as long as they are driven by a quest for unifying principles that embed a diversity of phenomena or techniques.

  20. Characterization - Atomic Force Microscopy

    12 Jan 2022 | | Contributor(s):: Wesley C. Sanders, NACK Network