From Atoms to Materials
Predictive Theory and Simulations
Explore this five-unit course and discover a unified framework for understanding the essential physics that govern materials at atomic scales. You’ll then be able to relate these processes to the macroscopic world.
The course starts with an introduction to quantum mechanics and its application to understand the electronic structure of atoms and the nature of the chemical bond. After a brief description of the electronic and atomic structures of molecules and crystals, the course discusses atomic motion in terms of normal modes and phonons, as well as using molecular dynamics simulations.
Finally, principles of statistical mechanics are introduced and used to relate the atomic world to macroscopic properties.
Throughout the course, students will use online simulations in nanoHUB to apply the concepts learned to interesting materials and properties; these simulations will involve density functional theory and molecular dynamics.
What you'll learn
- Principles of classical and quantum mechanics and their application to describe materials at atomic scales
- Statistical mechanics to connect the atomistic and macroscopic worlds
- How to use density functional theory and molecular dynamics to predict materials properties and processes
Get a Reminder
Get a Reminder
Similar Courses
Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile.
Adjunct Professor, Statics and Mechanics of Materials $30k
Automobile Mechanics Teacher $58k
Mining Rock Mechanics Engineer Job $59k
Helicopter Mechanics School Instructor $61k
AUTOMOTIVE TECHNICIANS / AUTOMOTIVE MECHANICS $64k
Rice Quantum Institute/Applied Physics Graduate Program Administrator $67k
Quantum Computing Theorist $83k
Applied Mechanics Group Leader $86k
Write a review
Your opinion matters. Tell us what you think.
Please login to leave a review
Similar Courses
Sorted by relevance
Like this course?
Here's what to do next:
- Save this course for later
- Get more details from the course provider
- Enroll in this course