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

Resources (21-40 of 1065)

  1. DNA Automation with Nano-Structured Ceramics

    Online Presentations | 03 Jan 2023 | Contributor(s):: NACK Network

    We will discuss how the use of nano-structured ceramic films enables the synthesis of hundreds of DNA genes in gram quantities overnight. Furthermore, we will describe how these nano-structured ceramics can be manufactured without the use of expensive, currently highly backlogged, nanofabs...

  2. Teaching and Learning with the MIT Atomic Scale Modeling Toolkit's Classical and Quantum Atomic Modeling Applications

    Online Presentations | 23 Dec 2022 | Contributor(s):: Enrique Guerrero

     We will perform molecular dynamics computations using LAMMPS, simple Monte Carlo simulations including the Ising model, and run quantum chemistry and density functional theory computations.

  3. Introduction to X-ray Diffraction (XRD)

    Online Presentations | 02 Dec 2022 | Contributor(s):: Peter Kazarinoff, NACK Network

  4. Interactive Modeling of Materials with Density Functional Theory Using the Quantum ESPRESSO Interface within the MIT Atomic Scale Modeling Toolkit

    Online Presentations | 22 Nov 2022 | Contributor(s):: Enrique Guerrero

    We will explore the Quantum ESPRESSO interface within the MIT Atomic-Scale Modeling Toolkit with interactive examples. We will review the basics of density functional theory and then focus on the tool’s capabilities.

  5. A Guide to the MIT Atomic Scale Modeling Toolkit for nanoHUB.org

    Teaching Materials | 22 Nov 2022 | Contributor(s):: Enrique Guerrero

    This document is a guide to the Quantum ESPRESSO application within the >MIT Atomic Scale Modeling Toolkit The guide was designed to be presented as part II of the nanoHUB seminar “A condensed matter physics class and a Course-based Undergraduate Research Experience (CURE) with the MIT...

  6. X-ray Diffraction (XRD) Part 2

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

  7. 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...

  8. Confocal Microscopy for Technicians

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

  9. Confocal Microscopy

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

  10. 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...

  11. Transmission Electron Microscopy

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

  12. Ion Implantation, Thermal Oxidation and Atomic Layer Deposition

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

  13. 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...

  14. Introduction to DFT simulations in nanoHUB

    Presentation Materials | 06 Oct 2022 | Contributor(s):: André Schleife

    In this webinar, I will briefly outline the fundamentals of this technique, and demonstrate applications to compute total energies, bulk modulus, and electronic structure/densities of states using Nanohub.

  15. 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.

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

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

  17. 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.

  18. RAIN Network: Scanning Electron Microscope

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

  19. 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)...

  20. 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...