Tags: Young’s modulus

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  1. 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.

  2. Module 4: Linear Regression Models

    01 Oct 2020 | | Contributor(s):: Michael N Sakano, Saaketh Desai, Alejandro Strachan

    This module introduces linear regression in the context of materials science and engineering. We will apply liner regression to predict materials properties and to explore correlations between materials properties via hands-on online simulations. Linear regression is a supervised machine...

  3. Linear Regression Young's modulus

    24 Sep 2020 | | Contributor(s):: Michael N Sakano, Saaketh Desai, Alejandro Strachan

    Use linear regression to extract Young's modulus and yield stress from stress-strain data

  4. Tensile Testing of Metals - Sword Flexibility

    Collections | 01 Mar 2016 | Posted by Tanya Faltens

    https://nanohub.org/groups/materials/collections/interesting-materials-science-videos

  5. Muddiest Point Tensile Test

    Collections | 01 Mar 2016 | Posted by Tanya Faltens

    https://nanohub.org/groups/materials/collections/videos--tensile-testing-dislocations-plastic-deformation

  6. Tensile Testing of Metals - Sword Flexibility

    Collections | 01 Mar 2016 | Posted by Tanya Faltens

    https://nanohub.org/groups/materials/collections/videos--tensile-testing-dislocations-plastic-deformation

  7. Anisotropy Calculator - 3D Visualization Toolkit

    24 Jul 2013 | | Contributor(s):: Mateo Gómez Zuluaga, Fernando Luis Dri, Pablo Daniel Zavattieri (editor), Robert J. Moon (editor)

    Generates 3D surface contour plot of the Young’s modulus from a compliance matrix (Sij).

  8. Self-Consistent Geometry, Density and Stiffness of Carbon Nanotubes

    04 May 2010 | | Contributor(s):: R. Byron Pipes

    A self-consistent set of relationships is developed for the physical properties of single walled carbon nanotubes (SWCN) and their hexagonal arrays as a function of the chiral vector integer pair, (n,m). Properties include effective radius, density, principal Young’s modulus, and specific Young’s...

  9. Self-Consistent Properties of Carbon Nanotubes and Hexagonal Arrays as Composite Reinforcements

    05 May 2010 | | Contributor(s):: R. Byron Pipes

    A self-consistent set of relationships is developed for the physical properties of single walled carbon nanotubes (SWCN) and their hexagonal arrays as a function of the chiral vector integer pair, (n,m). Properties include effective radius, density, principal Young’s modulus, and specific Young’s...