Sprechstunde: Per E-Mail-Vereinbarung donnerstags 13 bis 14 Uhr.
Check out the new open access journal Frontiers in Biophysics and the press release by the
Nature Publishing Group
- Aktuelles / News
- Teaching Winter Term 2019/20
- Monte Carlo Methods
This set of lectures is concerned with simulation methods which use stochastic elements to compute quantities of interest. The stochastic methods are built on concepts developed in probability theory and statistical mechanics. They allow not only a treatment of problems apparently probabilistic in nature, but also problems which are at first sight deterministic. The scope of applications is broad, making it the most flexible and exciting tool in simulational science. Indeed it is the most widely applied simulation method across the sciences. In this set of lectures I will introduce the basics of the method. I will then give examples of how the method is used in high performance computing where the parallelism is important.
The topics are listed here.
Venue: Philos.-weg 12/kHS, Tuesdays at 15:15
- Master Seminar: Machine Learning in Physics
The topics are listed here.
Venue: Philos.-weg 12 / SR, Mondays at 14:15
- Seminar on the Theory of Complex Systems. This seminar is intented for PhD students and interested parties.
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The 6th edition of the book on Monte Carlo Methods in Statistical Physics by
K. Binder and myself can now be accessed in the
online version via this link.
Of course, the printed version is still available. This edition includes
a chapter on Monte Carlo Methods for the Sampling of Free Energy Landscapes. - Grand Challenge Probleme der Physik
- Skripte zu Vorlesungen
- Materialien zur Vorlesung Theoretische Physik I: Klassische Mechanik
- Materialien zur Vorlesung Theoretische Physik II: Elektrodynamik
- Materialien zur Vorlesung Theoretische Physik III: Quantenmechanik
- Materialien zur Vorlesung Theoretische Physik IV: Statistische Mechanik
- Materialien zur Vorlesung Theoretische Biophysik
- Materialien zur Vorlesung Simulational Science
- Introduction to the Statistical Physics of Polymers
- Materialien zur Vorlesung Festkörperphysik (Solid State, Condensed and Soft Matter Physics
- Materialien zur Sommerschule: Modellierung biophysikalischer Systeme.
- Research
- Jobs / Bachelor / Master / PhD Projects
- Bachelor Projekt: Information Integration in Big Data Problems
- Bachelor Projekt: Simulation der Wechselwirkung DNA mit einem Protein.
- Bachelor Projekt: Positionierung von Chromosomen in Prokaryoten.
- Master Project: Artificial Intelligence Method for the Analysis of Chromosomal Conformation Capture Data
- Master Project: Modellierung und Simulation der Genomestruktur von Bakterien. Voraussetzung: Statistische Physik, ansonsten Training on the Job
- Master Project: Structural changes of chromosomes induced by radiation. (In cooperation with the Medical School Heidelberg-Mannheim Radiation Oncology) Prerequisite: Statistical Physics, Training on the Job
- Master Project: Monte Carlo Method for Big Data Problems in Biophysics.
- The group is offering internships within the RISE program.
- Recent Paper
- Using Persistent Homology as a New Approach for Super-Resolution Localization Microscopy Data Analysis and Classification of γH2AX Foci Andreas Hofmann, Matthias Krufczik, Dieter W. Heermann, Michael Hausmann Interational Journal of Molecular Biophysics, Volume 19 Issue 8, 2018 doi.org/10.3390/ijms19082263
- Heidelberg Graduate School of Mathematical and Computational Methods for the Sciences
Die Arbeitsgruppe ist Teil der durch die Exzellenz-Initiative geförderten Graduate School. Weitere Info ... - Graduiertenprogramm:
Research Training Group Spatio/Temporal Graphical Models and Applications in Image Analysis
Die Arbeitsgruppe wird durch Deutsche Forschungsgesellschaft im Rahmen der Research Training Group 1653 gefördert (siehe die Website der der Research Training Group)
- Past Oragnized Events
- Monte Carlo Workshop 2017
- Monte Carlo Workshop: The workshop was dedicated to the exchange of ideas on methods as well as on the application of Monte Carlo methods. More information is can be found here.