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Course, academic year 2023/2024
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Computational Physics I - NEVF526
Title: Počítačová fyzika I
Guaranteed by: Department of Surface and Plasma Science (32-KFPP)
Faculty: Faculty of Mathematics and Physics
Actual: from 2021
Semester: winter
E-Credits: 6
Hours per week, examination: winter s.:2/2, C [HT]
Capacity: unlimited
Min. number of students: unlimited
4EU+: no
Virtual mobility / capacity: no
State of the course: taught
Language: Czech, English
Teaching methods: full-time
Teaching methods: full-time
Guarantor: doc. RNDr. Štěpán Roučka, Ph.D.
RNDr. Ivan Barvík, Ph.D.
Is interchangeable with: NEVF520
Annotation -
Last update: T_KEVF (16.05.2005)
Main directions of classical computational physics. Basic techniques of computer modelling - Monte Carlo method, molecular dynamics method, fluid modelling, hybrid modelling. Application of computer modelling in physics.
Course completion requirements - Czech
Last update: doc. RNDr. Jiří Pavlů, Ph.D. (14.06.2019)

Zápočet se uděluje za vypracování zápočtového programu/projektu, jehož zadání je stanoveno po osobní konzultaci s vyučujícím. Charakter zápočtu umožňuje jeho opakování.

Literature -
Last update: T_KEVF (05.05.2010)

Haile J.M.: Molecular Dynamics Simulation, J. Wiley Inc., New York 1992.

Rapaport D.C.: The Art of Molecular Dynamics Simulation, Cambridge University Press,

Cambridge 1995.

Hockney R.W., Eastwood J.W.: Computer Simulation Using Particles, Taylor and

Francis, New York 1988.

Demnath L., Bhatta D.: Integral Transforms and Their Applications, Taylor and Francis, New

York 2007.

Hrach R.: Počítačová fyzika I, II, PF UJEP, Ústí nad Labem 2003.

Syllabus -
Last update: T_KEVF (16.05.2005)
1. Main directions of computational physics
Hardware and software. Structured programming. Object oriented programming.

2. Computer modelling
Relation reality - model. Principles of mathematical and computer modelling.

3. Monte Carlo method
Basic techniques, generation of random numbers, transformation of random quantities. Application of Monte Carlo method in mathematics. Application of Monte Carlo in physics, transport problem. Other problems.

4. Molecular dynamics method
Basic techniques, working area, boundary conditions, force calculation, equations of motion. Problems. PIC method, techniques PIC-NGP and PIC-CIC. Modern efficient algorithms for the force calculations.

5. Hybrid particle modelling

6. Basic principles of fluid modelling
Application of fluid modelling in physics.

7. Hybrid modelling
Combination of fluid and particle modelling. Application in physics.

 
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