MSE404 :: MatSE Illinois :: University of Illinois at Urbana-Champaign
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This class uses the CampusWire System for announcements, updates, and all communication between the instructor, TA, and students. Please visit this page to access it.
Excused Absences
Excused absences may be requested by filling out the Excused Absences form. For more information, please read the course syllabus.
Schedule
All lectures will be recorded and the recordings will be posted under this link.
| Date | Reading | Description | Assignment due |
|---|---|---|---|
| Tue Oct 21 | Intro, CMSE | ||
| Thu Oct 23 | MATLAB data analysis | ||
| Tue Oct 28 | MATLAB practice, water_models.csv, MATLAB Project, ASTM_C_TypeI.csv, ASTM_C_TypeIII.csv | ||
| Thu Oct 30 | MATLAB project | ||
| Tue Nov 4 | MATLAB project | ||
| Thu Nov 6 | OOF2 - Theory, OOF2 - Practice, bimetallic.png | Abstract feedback 1Matlab project figure upload for feedback | |
| Tue Nov 11 | OOF2 - Practice, OOF2 Walkthrough, OOF2 Project, crack.png | MATLAB project due: 11/14, 11.59 pm;Quiz 1: MATLAB, finish before 11/14, 11.59 pm; | |
| Thu Nov 13 | OOF2 project | Abstract feedback 2Andre on travel | |
| Tue Nov 18 | ThermoCalc - Theory I, OOF2 project | ||
| Thu Nov 20 | ThermoCalc - Theory II, ThermoCalc Walkthrough, OOF2 project | Project abstract upload,OOF2 Project due: 12/2, 11.59 pm;Quiz 2: OOF2, finish before 12/2, 11.59 pm; | |
| Tue Nov 25 | Thanksgiving Break | ||
| Thu Nov 27 | Thanksgiving Break | ||
| Tue Dec 2 | ThermoCalc Project | ||
| Thu Dec 4 | ThermoCalc Project | ||
| Tue Dec 9 | ThermoCalc Project | ||
| Thu Dec 11 | Reading Day | ThermoCalc Project (due: 12/12, 11.59 pm); Quiz 3: ThermoCalc (due: 12/12, 11.59 pm); Term project (due: 12/18, 11.59 pm, Upload here) |
Course Description
Scope
This class covers computer simulations on atomistic length and time scales for (structural or thermodynamic) properties of materials, numerical algorithms, and systematic and statistical error estimations. Concepts of statistical mechanics such as phase space and averages are critically important for this class. Students will become familiar with popular techniques to sample phase space, such as molecular dynamics (integration algorithms, static and dynamic correlations functions, and their connection to order and transport) and Monte Carlo and Random Walks (variance reduction, Metropolis algorithms, kinetic Monte Carlo, heat diffusion, Brownian motion). Example applications will include phase transitions (melting-freezing, calculating free energies) and polymers (growth and equilibrium structure). In addition, quantum simulations (zero temperature and finite temperature methods) and optimization techniques (e.g. simulated annealing) will be discussed.
Objectives
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. Students will work towards a final project, where they will define, model, implement, and study a particular problem using atomic-scale simulation techniques. Use of the Python programming language, writing of proper reports, and presentation of results are important components of this class.
Course Grading
Grading
Your final grade for this class will be based upon your total score on all the components of the course. Please consult the course syllabus for details on particular components.
| Course Component | Percentage of total |
|---|---|
| Participation | 20 |
| Quizzes | 15 |
| Project 1 (MATLAB) | 15 |
| Project 2 (OOF2) | 15 |
| Project 3 (Thermocalc) | 15 |
| Term Project Abstract | 5 |
| Term Project | 15 |
Final Grade
The following cutoff table will be used to calculate final scores.
| Final Grade | Minimum Points |
|---|---|
| A+ | 98 |
| A | 95 |
| A– | 92.5 |
| B+ | 87.5 |
| B | 85 |
| B– | 80 |
| C+ | 77.5 |
| C | 75 |
| C– | 66.7 |
| D+ | 58.3 |
| D | 50 |
| D– | 30 |
| F | <30 |