Advanced Hierarchical Materials by Design Lab

Developed New Courses

Multiscale Material Design: from Atoms to Structures

Lecture 1: Introduction to modeling & simulation materials

Lecture 2: Matlab-Overview

Lecture 3: Atomistic Simulations - Newtonian Dynamics, Fundamentals of Molecular Dynamics

Lecture 4: Atomistic Simulations - Interatomic Potentials, Numerical Algorithms for MD

Lecture 5: Atomistic Simulations - Harmonic oscillator, Conservation laws, Analysis

Lecture 6: Atomistic Simulations - Long-range interactions, Convergence, Ewald sum

Lecture 7: Atomistic Simulations - Introduction to LAMMPS

Lecture 8: Atomistic Simulations - Hands-on Experiment with LAMMPS

Lecture 9: Atomistic Simulations - Hands-on Experiment with VMD

Lecture 10: Statistical Simulations - Basic statistics, probability, Binning

Lecture 11: Statistical Simulations - Monte Carlo method, Macro/Micro-states, Ensembles

Lecture 12: Statistical Simulations - Ising model, spin-spin correlation function

Lecture 13: Statistical Simulations - Atomistic Model, Lennard-Johns system

Lecture 14: Statistical Simulations - Kinetic Monte Carlo – Diffusion and Growth models

Lecture 15: Statistical Simulations - Atomistic Model, Lennard-Johns system

Lecture 16: Meso-scale Simulations - Cellular Automata

Lecture 17: Meso-scale Simulations - Functional; Fundamentals of the Phase Field Method

Lecture 18: Meso-scale Simulations - Developing models in COMSOL

Lecture 19: Meso-scale Simulations - Local Free Energy, Nonlocal Free Energy

Lecture 20: Meso-scale Simulations - Interface width, Interface energy

Lecture 21: Meso-scale Simulations - Implementation in COMSOL

Lecture 22: Meso-scale Simulations - Continuum Mechanics, Strong (classical) Form

Lecture 23: Meso-scale Simulations - Galerkin Approximation

Lecture 24: Meso-scale Simulations - Implementing strong/weak forms

K-12 Outreach

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