Numerik und Computersimulationen in der weichen kondensierten Materie

TU Dresden | Sommersemester 2024 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.

Website:
https://www.ipfdd.de/de/scmbp/soft-condensed-matter-and-biological-physics/numerik-und-computersimulationen-in-der-weichen-kondensierten-materie/

Selma (TU-Dresden) Reference:
selma - K0200-V2WMF3dV Computer simulation of soft condensed matter (V+Ü)

Place  / Time : 
TU Dresden - REC / B113
Thu: 09:20-10:50 Lecture
Thu: 11:10-12:40 Hands-On Tutorial

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.

Display more information
Loading Assessment overview
Loading overview