Overview of the HPC Applications

Overview of the HPC Applications.

Lectures by Prof. T. Lippert.

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Introduction to statistical physics

Introduction to statistical physics: a review of the essentials of statistical physics will be presented, with applications to biological systems.

Lecture by Prof. G. Gompper .

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Phase Transitions and Critical Phenomena

Phase Transitions and Critical Phenomena.

Lecture by Prof. G. Gompper.

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Soft Matter Physics

Soft Matter Physics.

Lecture by Prof. G. Gompper.

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Monte Carlo Simulation, Molecular Dynamics Simulation, Free Energy Calculations

The essentials of the Monte Carlo method and the statistical techniques for understanding the output of these simulation will be described. Efficient simulation of the molecular dynamics induced by short-ranged interactions will be discussed. Software techniques to maintain and update lists of nearby particles will be presented allowing students to develop code to model examples of these systems.

Lectures by Prof. C. Dellago.

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Rare events, Enhanced sampling

Rare events and Enhanced sampling.

Lecture by Prof. M. Parrinello.

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Short range interactions

Short range interactions.

Efficient simulation of the molecular dynamics induced by short-ranged interactions. Software techniques to maintain and update lists of nearby particles will be presented allowing students to develop code to model examples of these systems.

Lecture by Prof. M. Abraham.

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Liouville operators and nuerical integration algorithms in molecular dynamics, Multiple time-step integrators

Liouville operators and nuerical integration algorithms in molecular dynamics, Multiple time-step integrators.

Lecture by Dr. M. Tuckerman.

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Molecular modelling, DNA

Molecular modelling, DNA.

Lecture by Dr. M. Orozco.

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Resonance-free multiple time-steps integrators

Resonance-free multiple time-steps integrators: The isokinetic ensemble and Colored-noise methods.

Lecture by Dr. M. Tuckerman.

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