Jul 01 2018

Invitation to the ESPResSo Summer School 2018

Our cecam school Particle-based Simulations for Hard and Soft Matter will take place on October 8-12, 2018 at the Institute for Computational Physics, University of Stuttgart.

The school focuses on the introduction of particle based coarse-grained Molecular Dynamics simulation techniques for Hard and Soft Matter systems with the freely available software packages ESPResSo, IMD, and the DL-Find library. It is intended to introduce the participants into specific methods like Lattice-Boltzmann, Dissipative Particle Dynamics, Smooth Particle Hydrodynamics, advanced electrostatic algorithms, force field development, finding optimal transition states, and coarse-grained model building, as well as visualization methods with the program MegaMol. This visualization middleware focuses on GPU-accelerated visualization of particle-based data with the scope of interactive exploratory analysis of molecular dynamics simulations.

In addition to lectures, hands-on-tutorials will help to illustrate the usage of all packages as well as to understand the discussed topics. The school will cover examples from soft matter as well as from solid state physics and engineering applications. The MegaMol framework includes also scenarios from thermodynamics and structural biology. It is planned that the participants will present their research by posters. Moreover, invited speakers will give talks on topics like scientific programming with Python, the methodology of multiscale methods, and advanced scientific visualization. Therefore the main aim of the school is given by a broad introduction into modern simulation techniques for Soft and Hard Matter and related topics in terms of practical tutorials, discussion rounds as well as lectures.

For details and for registration, please see: 


More information about the software packages can be found at:

www.espressomd.org (ESPResSo)

http://imd.itap.physik.uni-stuttgart.de/ (IMD)

http://www.cse.scitech.ac.uk/ccg/software/chemshell/manual/dlfind.html (DL-Find)

https://megamol.org/ (MegaMol)