course-details-portlet

MM8407

Advanced Simulation Methods in Many-particle Systems

Choose study year
Credits 7.5
Level Doctoral degree level
Course start Autumn 2024
Duration 1 semester
Language of instruction English
Location Trondheim
Examination arrangement Oral examination

About

About the course

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.

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.

Subject areas

  • Computer and Information Science
  • Materials
  • Materials Science and Solid State Physics
  • Statistical Mechanics
  • Theoretical Physics
  • Physics
  • Nanotechnology
  • Technological subjects

Contact information

Course coordinator

Lecturers

Department with academic responsibility

Department of Mechanical and Industrial Engineering