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 (21-40 of 1181)

  1. Phase Diagrams & Pb-free Low-temperature Solder Materials in Microelectronics

    24 May 2023 | | Contributor(s):: Carol Handwerker, Congying Wang, Alejandro Strachan

    This module enables students to use the Thermo-Calc Educational Package in nanoHUB to work with concepts and skills for interpreting and using phase diagrams to design low temperature solders for microelectronics applications.  You can directly run the Thermo-Calc Educational Package in...

  2. Chemistry and Materials with the Amsterdam Modeling Suite

    19 Apr 2023 | | Contributor(s):: Nicolas Onofrio

    In this talk, I will give an overview of the Amsterdam Modeling Suite to perform atomistic simulations at various levels of theory.

  3. Mechanical response of materials using Jupyter

    31 Jan 2023 | | Contributor(s):: Alejandro Strachan

    This tool provides mathematical tools using python in Jupyter to explore and calculate mechanical properties of materials

  4. Materials and Manufacturing Innovation towards Sustainable Energy

    24 Jan 2023 | | Contributor(s):: Tian Li

    Transitioning into a sustainable future requires the identification of sustainable and functional materials with high performance. As the main component of wood, cellulose is the most abundant polymer on earth with many economic and environmental benefits. Cellulose provides a unique hierarchical...

  5. DNA Automation with Nano-Structured Ceramics

    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...

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

    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.

  7. Introduction to X-ray Diffraction (XRD)

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

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

    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.

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

    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...

  10. X-ray Diffraction (XRD) Part 2

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

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

    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...

  12. Confocal Microscopy for Technicians

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

  13. Confocal Microscopy

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

  14. Introduction of Transmission Electron Microscope

    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...

  15. Transmission Electron Microscopy

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

  16. Ion Implantation, Thermal Oxidation and Atomic Layer Deposition

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

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

    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...

  18. Introduction to DFT simulations in nanoHUB

    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.

  19. Oct 05 2022

    Density Functional Theory: Introduction and Applications

    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

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

    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.