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

Online Presentations (21-40 of 649)

  1. X-ray Diffraction (XRD) Part 2

    Online Presentations | 18 Nov 2022 | Contributor(s):: Atilla Ozgur Cakmak, NACK Network

  2. Like Driving a Car: Acquiring Quality SEM/FESEM Images in Different Situations

    Online Presentations | 18 Nov 2022 | Contributor(s):: Bangzhi Liu, NACK Network

    Getting good SEM/FESEM images is dependent on both the sample conditions (conductivity, bulk vs. thin film, etc) and the instrument’s imaging parameters (e.g., beam voltage, beam current, working distance, detector, etc).  This webinar will simplify and explain the complex nature...

  3. Confocal Microscopy for Technicians

    Online Presentations | 12 Oct 2022 | Contributor(s):: Peter Kazarinoff, Grant Shao, NACK Network

  4. Confocal Microscopy

    Online Presentations | 12 Oct 2022 | Contributor(s):: Fatma Pri-Cakmak, NACK Network

  5. Introduction of Transmission Electron Microscope

    Online Presentations | 11 Oct 2022 | Contributor(s):: Nan Yao, NACK Network

    For Nanotechnology, Nanobiotechnology, and Nanomaterials characterization and quality control Transmission Electron Microscopy (TEM) is still used for its ability to produce images of relevant features from angstroms to microns. In this course we will discuss the state of the art in TEM...

  6. Transmission Electron Microscopy

    Online Presentations | 07 Oct 2022 | Contributor(s):: Glen Johnson, NACK Network

  7. Ion Implantation, Thermal Oxidation and Atomic Layer Deposition

    Online Presentations | 07 Oct 2022 | Contributor(s):: Atilla Ozgur Cakmak, Rich Hill, NACK Network

  8. The Materials Simulation Toolkit for Machine Learning (MAST-ML): Automating Development and Evaluation of Machine Learning Models for Materials Property Prediction

    Online Presentations | 06 Oct 2022 | Contributor(s):: Ryan Jacobs

    Hands-on activities, we will use MAST-ML to (1) import materials datasets from online databases and clean and examine our input data, (2) conduct feature engineering analysis, including generation, preprocessing, and selection of features, (3) construct, evaluate and compare the performance of...

  9. Introduction to a Basic Machine Learning Workflow for Predicting Materials Properties

    Online Presentations | 04 Oct 2022 | Contributor(s):: Benjamin Afflerbach

    This tutorial will introduce core concepts of machine learning through the lens of a basic workflow to predict material bandgaps from material compositions.

  10. Nano-Characterization and Nano-Fabrication using EB/IB Tools

    Online Presentations | 29 Sep 2022 | Contributor(s):: Tomoko Borsa, NACK Network

  11. Summer Research at Princeton University

    Online Presentations | 26 Sep 2022 | Contributor(s):: The Micro Nano Technology - Education Center

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

  12. RAIN Network: Scanning Electron Microscope

    Online Presentations | 26 Sep 2022 | Contributor(s):: Paul D. Asimow, The Micro Nano Technology - Education Center

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

    Online Presentations | 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)...

  14. Microstructure Modeling with OOF2 and OOF3D

    Online Presentations | 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...

  15. Properties of Nanomaterials

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

  16. Ultrafast Spectroscopy of Nanomaterials

    Online Presentations | 17 Jun 2022 | Contributor(s):: Aziz Boulesbaa, The Micro Nano Technology - Education Center

  17. Colorful and Smart Nanoscale Materials

    Online Presentations | 17 Jun 2022 | Contributor(s):: Yadong Yin, The Micro Nano Technology - Education Center

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

    Online Presentations | 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...

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

    Online Presentations | 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....

  20. URE Experience - DFT Thermoelectric Calculations

    Online Presentations | 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...