This is a modern introduction to the topic of statistical mechanics, that is, the way in which the interactions between sufficiently large sets of molecules give rise to experimentally observable properties of a system. Click here for the syllabus.
Assignments
- Week 1 - Intro to Python: Complete the interactive tutorial at this link.
- Week 1 - Results (same as at previous link)
- Week 2 - Click here for Homework 1, Due Tuesday Sept 18 in class.
- Homework 1 Solutions
- Week 2 - Computational Homework Results
- Week 3 - Click here for Homework 2, Due Tuesday Sept 25 in class.
- Homework 2 Solutions
- Week 4 - Click here for Homework 3, Due Tuesday Oct 2 in class.
- Homework 3 Solutions
- Week 4 - Computational Homework Results
- Week 5 - Click here for Homework 4, Due Thursday Oct 11 in class.
- Homework 4 Solutions
- Week 7 - Midterm 1 and Solutions, October 18.
- Week 8 - Intro to Molecular Dynamics: Complete the interactive exercises at this link, Due Tues Oct 30 by the end of the day.
- Week 8 - Computational Homework Results
- Week 9 - Click here for Homework 5, Due Thursday Nov 8 in class.
- Homework 5 Solutions
- Week 9 - Computational Homework Results
- Week 11 - Click here for Homework 6, Due Tuesday Nov 20 in class.
- Homework 6 Solutions
- Week 12 - Monte Carlo for the Ising Model: complete the interactive exercises at this link, due before class Thurs Nov 29.
- Week 12 - Computational Homework Results
- Week 13 - Click here for Homework 7, Due Thursday, December 6 in class.
- Homework 7 Solutions
Lecture Notes
- Lecture 1 - Probability
- Lecture 2 - Probability Continued, Classical Mechanics
- Lecture 3 - Classical Mechanics, Microcanonical Ensemble
- Lecture 4 - Thermo Review and Ideal Gas in Microcanonical Ensemble
- Lecture 5 - Canonical Ensemble
- Lecture 6 - Canonical Ensemble Continued
- Lecture 7 - Real Gasses and Liquids
- Lecture 8 - Structure and thermodynamic properties
- Lecture 9 - Radial Distribution Functions and Virial Expansion
- Lecture 10 - Van der Waal's Perturbation Theory, Intro to Sampling
- Lecture 11 - Sampling: Intro to MC and MD
- Lecture 12 - Intro to MD continued, and enhanced sampling
- Lecture 13 - Enhanced sampling continued, replica exchange and non-canonical sampling
- Lecture 14 - Umbrella Sampling
- Lecture 15 - Constant Temperature MD
- Lecture 16 - Grand Canonical and Isothermal/Isobaric Ensemble
- Lecture 17 - Phase transitions, pt 1
- Lecture 18 - Phase transitions, pt 2
- Lecture 19 - Phase transitions, pt 3
- Lecture 20 - Phase transitions, pt 4
- Lecture 21 - Non-equilibrium Stat Mech, pt 1
- Lecture 22 - Non-equilibrium Stat Mech, pt 2
- Lecture 23 - Non-equilibrium Stat Mech, pt 3
- Lecture 24 - Quantum Stat Mech, pt 1
- Lecture 25 - Quantum Stat Mech, pt 2