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MH2102 Computational Physics 7.5 credits

An advanced course in numerical analysis focusing on the computer simulation of condensed matter systems using particles. The main part of the course concerns the molecular dynamics simulation technique (MD).

Information per course offering

Course offerings are missing for current or upcoming semesters.

Course syllabus as PDF

Please note: all information from the Course syllabus is available on this page in an accessible format.

Course syllabus MH2102 (Spring 2009–)
Headings with content from the Course syllabus MH2102 (Spring 2009–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

Numerical methods in theoretical physics; the nature of mathematical experiments. Elements of statistical mechanics. Statistical ensembles and ergodic aspects. Comparative review of molecular dynamics algorithms. Description of macroscopic properties using collective variables and correlation functions. Using simulation for interpreting laboratory experiments (inelastic neutron scattering, etc). Statistical accuracy and systematic errors. Simulation of various phases of condensed matter: crystalline solids, liquids, glasses and quasi crystals. Constrained methods. Non-Newtonian algoritms of molecular dynamics. High-performance methods of simulation. Using parallel processing. Survey of Monte-Carlo methods. Methods of structural characterization using reversed Monte-Carlo. Quantum simulation.

Intended learning outcomes

The goals of the course are to

  • introduce the basic concepts and techniques of molecular dynamics and other methods of computer simulation of condensed matter,
  • present and discuss the role of simulation as an independent method of research in condensed matter physics,
  • demonstrate some results obtained by computer simulation which constitute an integral part of the modern condensed matter physics,

so that the students will be able to

  • use and understand molecular dynamics simulation.

Literature and preparations

Specific prerequisites

Elementary statistical and solid-state physics. Elementary knowledge of programming and numerical methods.

Literature

To be announced at course start.

Examination and completion

Grading scale

A, B, C, D, E, FX, F

Examination

  • PRO1 - Project, 7.5 credits, grading scale: A, B, C, D, E, FX, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

If the course is discontinued, students may request to be examined during the following two academic years.

Other requirements for final grade

Project with examination (PRO1; 7,5 cr.).

Examiner

No information inserted

Ethical approach

  • All members of a group are responsible for the group's work.
  • In any assessment, every student shall honestly disclose any help received and sources used.
  • In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.

Further information

Course room in Canvas

Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.

Offered by

Education cycle

Second cycle