Numerical simulations are an integral part of modern research as they facilitate a more detailed understanding of underlying physics than simple analytical models and offer time and cost savings compared to experiments. While grid-based methods dominated the field in the beginning, with rapid growth in computing power in the last few decades, particle methods are becoming increasingly popular owing to their high parallelizability, ease of use with complex geometries, and greater potential resolution.
In this seminar, we holistically look at various aspects of particle simulation methods like mathematical models, algorithms for short-range and long-range interactions, numerical methods, and shared and distributed memory parallelization. While we reference
Molecular Dynamics (MD) simulations to better understand these different aspects, we also look into other particle methods like Smooth Particle Hydrodynamics (SPH), Discrete Element Methods (DEM), etc.
In this seminar, we holistically look at various aspects of particle simulation methods like mathematical models, algorithms for short-range and long-range interactions, numerical methods, and shared and distributed memory parallelization. While we reference
Molecular Dynamics (MD) simulations to better understand these different aspects, we also look into other particle methods like Smooth Particle Hydrodynamics (SPH), Discrete Element Methods (DEM), etc.
- Dozent: Hans-Joachim Bungartz
- Dozent: Manish Mishra
- Dozent: Samuel Newcome