Difference between revisions of "Simulationsmethoden I WS 09 10"

From ICPWiki
Jump to: navigation, search
(Scope)
(Scope: formatting and typing errors...)
Line 19: Line 19:
 
The course  intends to give an overview about modern simulation methods
 
The course  intends to give an overview about modern simulation methods
 
used in physics today. The stress of the lecture will be to introduce different
 
used in physics today. The stress of the lecture will be to introduce different
approaches to simulate a problem, hence we will not go too to deep into specific details
+
approaches to simulate a problem, hence we will not go too to deep into specific details but rather try to cover a broad range of methods. In more detail, the
but rather try to cover a broad reange of methods. In more detail, the
 
 
lecture will consist of:
 
lecture will consist of:
  
1.Molecular Dynamics
+
'''1. Molecular Dynamics'''
 +
 
 
The first problem that comes to mind when thinking about simulating
 
The first problem that comes to mind when thinking about simulating
 
physics is solving Newtons  equations of motion for some particles with
 
physics is solving Newtons  equations of motion for some particles with
Line 29: Line 29:
 
common numerical integrators. This approach quickly leads us to
 
common numerical integrators. This approach quickly leads us to
 
Molecular Dynamics (MD) simulations. Many of the complex problems of
 
Molecular Dynamics (MD) simulations. Many of the complex problems of
pratical importance require us to take a closer look at statistical
+
practical importance require us to take a closer look at statistical
 
properties, ensembles and the macroscopic observables.
 
properties, ensembles and the macroscopic observables.
 +
 
The goal is to be able to set up and run real MD simulations for
 
The goal is to be able to set up and run real MD simulations for
 
different ensembles and understand and interpret the output.
 
different ensembles and understand and interpret the output.
  
2.Partial Differential Equations
+
'''2. Partial Differential Equations'''
 +
 
 
Some of the most common physical problems today can be formulated with
 
Some of the most common physical problems today can be formulated with
Partial Differential Equations (PDE). We want to think about what kinds
+
Partial Differential Equations (PDEs). We want to think about what kinds
 
of physical problems can be dealt with PDEs and what methods we
 
of physical problems can be dealt with PDEs and what methods we
 
have to solve them numerically.  
 
have to solve them numerically.  
 +
 
The goal is to get to know the problems you run into when solving these
 
The goal is to get to know the problems you run into when solving these
 
simple-looking equations and to get an overview on the methods available.
 
simple-looking equations and to get an overview on the methods available.
  
3.Quantum mechanical systems
+
'''3. Quantum mechanical systems'''
It is obvious that solving quantum mechanical systems analytically is
+
 
not possible and we need numerical help. We want to introduce various
+
It is obvious that solving quantum mechanical systems analytically is not possible and we need numerical help. We want to introduce various methods like (post-)Hartree-Fock,  Density Functional Theory, and Car-Parrinello-Molecular dynamics. We also want to examine the possibilities to simulate the quantum chromodynamics PDEs on a lattice (lattice gauge theory).
methods like (post-)Hartree-Fock,  Density Functional
+
 
Theory, and Car-Parrinello-Molecular dynamics.
 
 
The goal is to get an overview on the methods to treat quantum
 
The goal is to get an overview on the methods to treat quantum
 
mechanical systems and know about some of the advantages and
 
mechanical systems and know about some of the advantages and
disadvantages of each method. We also want to examine the
+
disadvantages of each method.  
possibilities to simulate the quantum chromodynamics PDEs on a lattice
+
 
(lattice gauge theory).
+
'''4. Monte Carlo Simulations'''
  
4.Monte Carlo Simulations
 
 
Since their invention, the importance of Monte Carlo (MC) sampling has
 
Since their invention, the importance of Monte Carlo (MC) sampling has
 
grown constantly. Nowadays it is applied to a wide class of problems in modern
 
grown constantly. Nowadays it is applied to a wide class of problems in modern

Revision as of 00:20, 13 October 2009

Overview

Simulationsmethoden in der Physik I:Simulation Methods in Physics I

Type
Lecture (2 SWS) and Tutorials (2 SWS)
Lecturer
Prof. Dr. Christian Holm (Lecture) and Joan Josep Cerdà, Fatemeh Tabatabaei, Nadezhda Gribova (Tutorials)
Course language
Deutsch oder Englisch, wie gewünscht- German or English, by vote
Time and Room
Lecture times: Monday, 11:30 a.m.-1 p.m., Room V27.03 (tentative),

The lecture is accompanied by hands-on-tutorials which will take place in the CIP-Pool of the ICP, Pfaffenwaldring 27, U 108. They consist of practical exercises at the computer, like small programming tasks, simulations, visualization and data analysis. The tutorials build on each other, therefore continuous attendance is expected. Tutorials will be hold on: Time to be negotiated during the first meeting on October 19.

Scope

The course intends to give an overview about modern simulation methods used in physics today. The stress of the lecture will be to introduce different approaches to simulate a problem, hence we will not go too to deep into specific details but rather try to cover a broad range of methods. In more detail, the lecture will consist of:

1. Molecular Dynamics

The first problem that comes to mind when thinking about simulating physics is solving Newtons equations of motion for some particles with given interactions. From that perspective, we first introduce the most common numerical integrators. This approach quickly leads us to Molecular Dynamics (MD) simulations. Many of the complex problems of practical importance require us to take a closer look at statistical properties, ensembles and the macroscopic observables.

The goal is to be able to set up and run real MD simulations for different ensembles and understand and interpret the output.

2. Partial Differential Equations

Some of the most common physical problems today can be formulated with Partial Differential Equations (PDEs). We want to think about what kinds of physical problems can be dealt with PDEs and what methods we have to solve them numerically.

The goal is to get to know the problems you run into when solving these simple-looking equations and to get an overview on the methods available.

3. Quantum mechanical systems

It is obvious that solving quantum mechanical systems analytically is not possible and we need numerical help. We want to introduce various methods like (post-)Hartree-Fock, Density Functional Theory, and Car-Parrinello-Molecular dynamics. We also want to examine the possibilities to simulate the quantum chromodynamics PDEs on a lattice (lattice gauge theory).

The goal is to get an overview on the methods to treat quantum mechanical systems and know about some of the advantages and disadvantages of each method.

4. Monte Carlo Simulations

Since their invention, the importance of Monte Carlo (MC) sampling has grown constantly. Nowadays it is applied to a wide class of problems in modern computational physics. We want to present the general idea and theory behind MC simulations and show some more properties using simple toy models like the Ising-model.

Prerequisites

We expect the participants to have basic knowledge in classical and statistical mechanics, thermodynamics, electrodynamics, and partial differential equations, as well as knowledge of a programming language (preferably C or C++).

Certificate Requirements:

1. Attendance of the exercise classes
2. Obtaining 50% of the possible marks in the hand-in exercises

Lecture

Date Subject


Tutorials (U 108)

Date Subject

Recommended literature


Available E-Books

D.P. Landau and K. Binder.

"A guide to Monte Carlo Simulations in Statistical Physics"