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nanoHUB-U: From Atoms to Materials: Predictive Theory and Simulations
MSE 270: Atomistic Materials Science
EAFIT-Purdue: online simulations in engineering and science education
Atomistic View of Materials: Modeling & Simulation
Introduction to Uncertainty Quantification
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Melting point simulation using OpenKIM
22 Mar 2019 | Contributor(s): Martin Hunt, Alejandro Strachan
Computes melting point using a coexistence technique using interatomic potentials from OpenKIM
Structural Analysis for Molecular Dynamics Trajectories
03 Mar 2019 | Presentation Materials | Contributor(s): Nicholas J Finan, Saaketh Desai, Sam Reeve, Alejandro Strachan
This tool reads in LAMMPS trajectories and performs the following analysis: Radial Distribution Function (RDF), X-Ray Diffraction (XRD), Vibrational Density of States, and (More to Come!). By default the tool requires trajectory files to be input by the user however there are some...
Calibration using DAKOTA
21 Mar 2019 | Tools | Contributor(s): Saaketh Desai, Alejandro Strachan
Uses DAKOTA to perform deterministic and Bayesian calibration
Nanoscale tensile testing with molecular dynamics
21 Feb 2019 | Teaching Materials | 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...
Melting with molecular dynamics
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 scalesIdentify effects of surfaces and specimen sizeDescribe differences...
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Purdue Workshop—Predictive materials modeling and simulations: nano- and micro-mechanics
This by-invitation-only workshop will focus on recent progress and current challenges in the area of experimentally validated, predictive modeling of mechanical properties of nano- or micro-engineered materials. Areas of interest include micro- and nano-electromechanical devices...
Learning Module: Atomic Picture of Plastic Deformation in Metals
The main goal of this learning module is to introduce students to the atomic-level processes responsible for plastic deformation in crystalline metals and help them develop a more intuitive understanding of how materials work at molecular scales. Image to the right shows plastic deformation of a...
Molecular dynamics simulations of materials
What is MD?
Molecular dynamics involves the numerical solution of the classical equations of motion (F=ma) for every single atom in material. The result is a very detailed description of the temporal evolution of the material: we obtain the position, velocity and force of every atom as a...
Resources for Materials Science and Engineering
Ab initio electronic structure simulation tools
:ABINIT is a package whose main program allows to find the total energy, charge density and electronic structure of systems made of electrons and nuclei (molecules and periodic solids) within Density Functional Theory, using...
Learning Module: Bonding and Band Structure in Silicon
The main goal of this learning module is to help students learn about the correlation between atomic structure and electronic properties, and help them develop a more intuitive understanding of the origin of electronic bands in a material via hand-on exploration using online electronic structure...