Numerik und Computersimulationen in der weichen kondensierten Materie
TU Dresden | Sommersemester 2023
Numerik und Computersimulationen in der weichen kondensierten Materie
Computer simulation of soft condensed matter
Summary: The lectures introduce Molecular Dynamics and Monte Carlo methods that are frequently used to simulate soft condensed matter. Machine learning methods such as artificial neural networks will be introduced for pattern recognition in simulation data. The exercises deal with selected model systems for soft matter and we discuss the applicability of the different methods for these particular problems, in particular regarding problems from soft matter and polymer physics.
Please refer to the course website for details on topics and organization.
Exercises / lecture notes / further reading material:
https://www.ipfdd.de/en/scmbp/soft-condensed-matter-and-biological-physics/lecture-materials/
The lectures introduce Molecular Dynamics and Monte Carlo methods that are frequently used to simulate soft condensed matter. Machine learning methods such as artificial neural networks will be introduced for pattern recognition in simulation data. The exercises deal with selected model systems for soft matter and we discuss the applicability of the different methods for these particular problems, in particular regarding problems from soft matter and polymer physics.
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