Course - Advanced Simulation Methods in Many-particle Systems - MM8407
MM8407 - Advanced Simulation Methods in Many-particle Systems
About
Examination arrangement
Examination arrangement: Oral examination
Grade: Passed / Not Passed
| Evaluation | Weighting | Duration | Grade deviation | Examination aids |
|---|---|---|---|---|
| Oral examination | 100/100 | D |
Course content
The course covers advanced simulation methods in many-particle systems applied to, amongst others classical fluids and spin systems. The course provides a theoretical basis for both basic and advanced techniques as well as practical experience with application of molecular-dynamics and Monte-Carlo simulations.
Learning outcome
Knowledge:
- Monte-Carlo and molecular dynamics algorithms.
- Approaches for modelling the properties and dynamics of the particles in simulations.
- Basic and advanced methods for speeding up simulations.
Skills:
- Be able to use several tools used in simulation methods in statistical physics.
- Be able to write well-optimised programs for molecular dynamics and Monte Carlo simulations.
- Be able to decide the applicability of different methods of simulating problems within statistical physics.
General Competence: Be able to communicate and present obtained knowledge.
Learning methods and activities
Lectures, seminars, exercises.
Programming project.
If there are less than 4 registered students, the course coordinator will decide whether the course will take place.
Compulsory assignments
- Exercises
- Programming project
Further on evaluation
In case of re-take, compulsory work requirements from previous years can be approved by the institute.
Recommended previous knowledge
Ideally, you should be able to program in C/C++.
Required previous knowledge
All students taking this course must be enrolled in a ph.d program at NTNU or a different university.
An introductory programming course and statistical physics, thermodynamics, or equivalent.
Course materials
Understanding Molecular Simulation, by Daan Frenkel and Berend Smit. Other material that will be provided.
No
Version: 1
Credits:
7.5 SP
Study level: Doctoral degree level
Term no.: 1
Teaching semester: AUTUMN 2024
Language of instruction: English
Location: Trondheim
- Computer and Information Science
- Materials
- Materials Science and Solid State Physics
- Statistical Mechanics
- Theoretical Physics
- Physics
- Nanotechnology
- Technological subjects
Department with academic responsibility
Department of Mechanical and Industrial Engineering
Examination
Examination arrangement: Oral examination
- Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
- Autumn ORD Oral examination 100/100 D
-
Room Building Number of candidates - Spring ORD Oral examination 100/100 D
-
Room Building Number of candidates
- * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
For more information regarding registration for examination and examination procedures, see "Innsida - Exams"