## Materials Science

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### Materials Courses

## Materials Courses on nanoHUB

## nanoHUB-U Courses

### Live Now on edX. Course runs for 10 weeks, starting Aug. 21, 2017

**Fundamentals of Atomic Force Microscopy, Part 1— Fundamental Aspects of AFM**

Taught by Ron Reifenberger

Selected Topics: non-contact tip-surface interactions, intra/inter molecular interactions, contact tip-surface interactions, AFM components/calibrations, force spectroscopy, contact mode Imaging, VEDA

**Fundamentals of Atomic Force Microscopy, Part 2— Dynamic AFM Methods**

Taught by Arvind Raman

Selected Topics: dynamic AFM, using VEDA, reconstructing surface forces, dynamic AFM for electrostatics, magnetics and biology.

**From Atoms to Materials— Predictive Theory and Simulations**

Taught by Alejandro Strachan

This five-week short course covers the basic physics that govern materials at atomic scales.

Course Description: From Atoms to Materials: Predictive Theory and Simulations is a five-unit online course that develops a unified framework for understanding essential physics that govern materials at atomic scales and relate these processes to the macroscopic world.

Topics covered include: Basic quantum mechanics, quantum well, hydrogen atom, multielectron atoms, the nature of the chemical bond, LCAO, electronic structure of crystals, electronic band structures, Molecular Dynamics (MD), Interatomic potentials for MD, statistical mechanics, *Ab Initio* electronic structure calculations, Hartree-Fock and Exchange Interaction, Density Functional Theory (DFT).

### Introduction to the Materials Science of Rechargeable Batteries

Taught by R. Edwin Garcia

Selected Topics: The battery potential, energy and power in a battery, battery figures of merit, electrochemical potential and equilibrium, thermal effects, tortuosity in porous media, reversible and irreversible interfacial reactions, battery architecture and design guidelines, advanced battery architectures.

**Thermal Energy at the Nanoscale**

Taught by Timothy S Fisher

Selected Topics: lattice structure, phonons, electron, carrier statistics, thermal properties, Landauer transport formalism, carrier scattering, transmission.

### Thermoelectricity- From Atoms to Systems

Taught by Ali Shakouri, Supriyo Datta, and Mark Lundstrom

Selected Topics: fundamental concepts, Seebeck, Peltier, Thomson Effects, Termoelectric Transport Parameters, Nanoscale and Macroscale Characterization, Thermoelectronic Systems, Thermionics, Semiconductors with Embedded Nanoparticles, State of the Art Thermoelectric Materials.

__Undergraduate Courses__

### Introduction to Materials Science and Engineering

Introduction to Materials Science and Engineering at Texas A&M (2016), Taught by Patrick J Shamberger

This course introduces all of the topics in a "Callister"- level materials science course: Atomic Structures, Bonding, Crystalline Solids, Crystal Structures of Metals, Crystal Structures of Ceramics, Structure of Polymers, Phase Diagrams, Defects, Diffusion, Mechanical Properties of Metals, Deformation and Strengthening, Electrical Properties, Thermal Properties, Magnetic Properties, and Optical Properties.

### Introduction to Engineering Materials

MATSE 280 at University of Illinois, Urbana- Champaign (2008)

Taught by Duane Douglas Johnson

This course introduces you to the materials science and engineering of metals, ceramics, polymers, and electronic materials. Topics include: bonding, crystallography, imperfections, phase diagrams, properties and processing of materials. Case studies are used when appropriate to exemplify the lecture topics. Related courses are mostly focused on Mechanical Behavior.

__Graduate Courses__

**C****omputational Materials Science and Engineering**

MSE 498 at the University of Illinois at Urbana-Champaign (2015). 19 Lectures.

Taught by Andrew Ferguson

This new course will give students hands-on experience with popular computational materials science and engineering software through a series of projects in: electronic structure calculation (e.g., VASP), molecular simulation (e.g., GROMACS), phase diagram modeling (e.g., Thermo-Calc), finite element modeling (e.g., OOF2), and materials selection. The course will familiarize students with a broad survey of software tools in computational materials science, scientific computing, and prioritize the physical principles underlying the software to confer an understanding of their applicability and limitations.

**Nanomaterials**

**MSE 376 at Northwestern University (2005). ** 19 Lectures.

Taught by Mark Hersam

Selected Topics: film deposition, lithography, chemical synthesis, carbon nanomaterials, SPM lithography, nanoscale CMOS, nanomagnetism, nanoscale thermal properties, nanoelectromechanical systems

### Physics of Solids

**MSE 405 at Northwestern University (2006).** 35 Lectures.

Taught by Mark Hersam

Introduction to quantum mechanics and solid state physics. Specific topics include free electron behavior, potential energy wells and barriers, energy band theory, phonons, and electrical properties of metals and semiconductors. This course develops many concepts of fundamental interest to nanoscale science and engineering such as quantum confinement and reduced dimensionality effects in nanomaterials.

### Overview of Computational Nanoscience

**Physics C203 and NSE C242 at UC Berkeley (2008)**. 29 Lectures.

Taught by Jeffrey C. Grossman and Elif Ertekin

This course will provide students with the fundamentals of computational problem-solving techniques that are used to understand and predict properties of nanoscale systems. Emphasis will be placed on how to use simulations effectively, intelligently, and cohesively to predict properties that occur at the nanoscale for real systems. The course is designed to present a broad overview of computational nanoscience and is therefore suitable for both experimental and theoretical researchers.

**Atomic-Scale Simulation**

**MSE 376 at Northwestern University (2005). ** 19 Lectures.

Taught by David M. Ceperley

THE OBJECTIVE is to learn and apply fundamental techniques used in (primarily classical) simulations in order to help understand and predict properties of microscopic systems in materials science, physics, chemistry, and biology.

**An Introduction to Molecular Dynamics**

**MSE 597G at Purdue University (2008). ** 10 Lectures

Taught by Alejandro Strachan

Selected Topics: classical mechanics, statistical mechanics, nano-materials simulation toolkit, interatomic potentials, molecular dynamics simulations, reaction zone model, VKML

### Introduction to Uncertainty Quantification

The objective of this summer school on Uncertainty Quantification and its Applications is to present an accessible introduction to the basic tools of uncertainty quantification, with the goal of orienting attendees to the field and helping them address UQ questions in their application areas of interest. Lectures will provide basic introductions to probability and stochastic processes, data analysis, estimation and inference, sensitivity analysis, uncertainty propagation, sampling methods, Bayesian computation, experimental design, and model validation. In addition, several guest lecturers will present a diverse set of applications and snapshots of current research, in which uncertainty quantification plays an important role.

### Uncertainty Quantification in Materials Modeling

This is the seminar portion of the Network for Computational Nanotechnology (NCN) and NEEDS (Nano-Engineered Electronic Devices Simulation) 2015 Summer School consisting of presentations related to uncertainty quantification.

There are many courses on AFM, TEM, Optical Microscopy, etc. in the **Characterization Group**.

Courses on semiconductor device physics and nanoelectronics are in the **Nanoelectronics Group.**

There are workshops and summer schools on Computational Materials Science at the University of Illinois at Urbana-Champaign.