The Monte Carlo and molecular dynamics methods. Simulations in different statistical mechanical ensembles. Computation of free energies. Stochastic dynamics. Applications to spin systems, fluids, polymers and biological macromolecules.
SI2530 Computational Physics 7.5 credits
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Simulation methods, mainly MonteCarlo and molecular dynamics.
About course offering
For course offering
Autumn 2024 Start 26 Aug 2024 programme students
Target group
No information insertedPart of programme
Master's Programme, Engineering Physics, åk 1, TFYA, Conditionally Elective
Master's Programme, Engineering Physics, åk 1, TFYE, Conditionally Elective
Master's Programme, Engineering Physics, åk 2, TFYA, Conditionally Elective
Master's Programme, Engineering Physics, åk 2, TFYE, Conditionally Elective
Periods
P1 (7.5 hp)Duration
Pace of study
50%
Form of study
Normal Daytime
Language of instruction
English
Course location
AlbaNova
Number of places
Places are not limited
Planned modular schedule
Course memo
Link to course memoSchedule
Link to scheduleApplication
For course offering
Autumn 2024 Start 26 Aug 2024 programme students
Application code
51583
Contact
For course offering
Autumn 2024 Start 26 Aug 2024 programme students
Contact
Jack Lidmar (jlidmar@kth.se)
Examiner
No information insertedCourse coordinator
No information insertedTeachers
No information insertedContent and learning outcomes
Course contents
Intended learning outcomes
To give an introduction to computational physics, which is a third area of physics beside experimental and theoretical physics. The goal is that the students should be able to:
- To understand the difference between simulations and other approximative and analytical methods
- To perform simulations and computations with available programs.
- Be able to write simple programs and make modifications of available programs.
- To understand the importance and limitations of a number of basic models with very broad applicability
- Be able to critically judge published results taking into account the limitations of the models and the statistical nature of several of the methods.
Literature and preparations
Specific prerequisites
English B / English 6
Recommended prerequisites
Statistical mechanics and quantum mechanics corresponding to SI1161 quantum physics and some familiarity with computers and computer programming.
Equipment
Literature
Examination and completion
If the course is discontinued, students may request to be examined during the following two academic years.
Grading scale
Examination
- INL1 - Assignment, 4.5 credits, grading scale: A, B, C, D, E, FX, F
- LAB1 - Laboratory Work, 3.0 credits, grading scale: P, 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.
Other requirements for final grade
Computer assignments (LAB1; 3 university credits)
Written exercises (INL1; 4,5 university credits).
Opportunity to complete the requirements via supplementary examination
Opportunity to raise an approved grade via renewed examination
Examiner
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
Offered by
Main field of study
Education cycle
Add-on studies
SI2531 which is an individual project course.