2017-10-19
10:15 at HCP F 43.4

Assessing numerical methods for molecular and particle simulation

Xiaocheng Shang

Polymer Physics, Department of Materials, ETH Zurich

We review and compare numerical methods for particle-based models, in particular, Langevin dynamics, dissipative particle dynamics (DPD) as well as a newly proposed stochastic pairwise adaptive Langevin (PAdL) method in a variety of applications including mesoscopic systems, large-scale machine learning, and polymer melts.