Tags: NCN Group - Materials Science

Description

Education group: Materials Science.

Materials Science.

All Categories (21-40 of 162)

  1. Data Science and Machine Learning for Materials Science

    Online Presentations | 22 Jan 2020 | Contributor(s):: Saaketh Desai

    This talk covers the fundamentals of machine learning and data science, focusing on material science applications. The talk is for a general audience, attempting to introduce basic concepts such as linear regression, supervised learning with neural networks including forward and back...

  2. Demonstrations for the Materials Science Classroom

    Teaching Materials | 06 Jan 2020 | Contributor(s):: Silas Brown, Jud Ready, NNCI Nano

    This is a compendium of demonstrations exploring the properties of materials. Material science is the study of the five classes of material: metals, ceramics/glasses, polymers, semiconductors, and composites, and their applicable properties.  It is an exceedingly important subject because...

  3. Simulating Precipitate Morphology using a Phase Field Model

    Teaching Materials | 01 Dec 2019 | Contributor(s):: Susan P Gentry, Stephen DeWitt, Mingwei Zhang

    For this activity, students investigate how precipitate morphology is affected by materials parameters such as anisotropic interfacial energy and misfit strain. They vary the materials parameters in a series of simulations utilizing the nanoHUB tool PRISMS-PF...

  4. Materials Science Modules with Molecular Dynamics

    Series | 25 Nov 2019 | Contributor(s):: Sam Reeve, Alejandro Strachan

    This module uses the Nanomaterial Mechanics Explorer: https://nanohub.org/tools/nanomatmech

  5. Henry Coefficient Simulator

    Tools | 23 Oct 2019 | Contributor(s):: Julian C Umeh, Thomas A Manz

    Calculate Henry's constant of several sites on a nanoporous material

  6. Gibbs Adsorption Simulator

    Tools | 10 Oct 2019 | Contributor(s):: Julian C Umeh, Thomas A Manz

    Simulates the adsorption of gases using Gibbs ensemble

  7. Adsorption Energy Calculator

    Tools | 23 Aug 2019 | Contributor(s):: Julian C Umeh, Thomas A Manz

    Calculate the total energy of adsorbates as they move around a metal organic framework

  8. Crystal Viewer Lab (New Interactive Front End)

    Tools | 16 Aug 2019 | Contributor(s):: Daniel F Mejia, Gerhard Klimeck, Yuanchen Chu

    Visualize and interact with various Crystalline Materials and all Bravais Lattices

  9. Void Fraction Calculator

    Tools | 25 Jul 2019 | Contributor(s):: Julian C Umeh, Thomas A Manz

    Calculates the void fraction (pore volume) of nano-porous materials

  10. Gas Adsorption Calculator

    Tools | 11 Jun 2019 | Contributor(s):: Julian C Umeh, Thomas A Manz

    Simulates gas adsorption onto metal organic frameworks

  11. PRISMS-PF: Equilibrium Shape for a Misfitting Precipitate

    Tools | 10 Jun 2019 | Contributor(s):: Stephen DeWitt, Nicole Shuman, Susan P Gentry

    Use the phase field method to determine the equilibrium shape of precipitate with misfit strain relative to the matrix.

  12. Gas Diffusion Coefficient in Metal Organic Frameworks

    Tools | 28 May 2019 | Contributor(s):: Julian Chinonso Umeh, Thomas A Manz

    Calculates gas self diffusion coefficient in metal organic frameworks

  13. Martensitic Transformations with Molecular Dynamics

    Teaching Materials | 21 Feb 2019 | Contributor(s):: Sam Reeve, Alejandro Strachan

    In this computational lab you will perform online molecular dynamics (MD) simulations through nanoHUB of martensitic transformations and analyze the results in order to: Describe the atomistic process of martensitic, solid-solid phase transitions Compare different martensitic alloys,...

  14. Melting with Molecular Dynamics

    Teaching Materials | 21 Feb 2019 | Contributor(s):: Sam Reeve, Alejandro Strachan

    In this computational lab you will perform online molecular dynamics (MD) simulations through nanoHUB to melt nickel samples and analyze the results in order to: Understand the process of melting at atomic scales Identify effects of surfaces and specimen size Describe differences...

  15. Nanoscale Tensile Testing with Molecular Dynamics

    Teaching Materials | 21 Feb 2019 | Contributor(s):: Sam Reeve, Alejandro Strachan

    In this computational lab you will perform online molecular dynamics (MD) simulations through nanoHUB of single-crystal copper nanowires under uniaxial tension of varying orientations and analyze the results in order to: Observe how slip planes in single-crystal nanowires are formed and...

  16. Dislocation Structure and Propagation with Molecular Dynamics

    Teaching Materials | 20 Feb 2019 | Contributor(s):: Sam Reeve, Alejandro Strachan

    In this computational lab you will learn about dislocations via online molecular dynamics (MD) simulations using nanoHUB. The simulations involve various types of dislocations in FCC and BCC crystals.

  17. Ductile and Brittle Failure in Metals with Molecular Dynamics

    Teaching Materials | 20 Feb 2019 | Contributor(s):: Sam Reeve, Alejandro Strachan

    In this computational lab you will perform online molecular dynamics (MD) simulations of nanoscale cracks under uniaxial tension through nanoHUB. Simulations with varying temperature and crystal structure will provide information to: Distinguish the atomistic mechanisms of ductile and...

  18. MSEN 201 Introduction to Materials Science & Engineering

    Courses | 13 Feb 2019 | Contributor(s):: Patrick J Shamberger

    Fundamental principles of materials science and engineering and their application toward complex engineering challenges; relationship between materials structure and structural and functional properties of engineered materials; property-performance relationships; principle classes of materials,...

  19. Solidification Simulation of Pure Metal in Semi-Infinite Mold

    Tools | 12 Feb 2019 | Contributor(s):: Michael S Titus, Justin Cooper, Dongsheng Wen

    Simulate the solidification of various pure metals in various mold materials. Adjust mold and metal properties.

  20. Machine Learning for Materials Science: Part 1

    Tools | 09 Feb 2019 | Contributor(s):: Juan Carlos Verduzco Gastelum, Alejandro Strachan, Saaketh Desai

    Machine learning and data science tools applied to materials science