首页 | 本学科首页   官方微博 | 高级检索  
     


The Flexible Rare Event Sampling Harness System (FRESHS)
Authors:Kai Kratzer  Joshua T. Berryman  Aaron Taudt  Johannes Zeman  Axel Arnold
Affiliation:1. ICP, Institute for Computational Physics, University of Stuttgart, Allmandring 3, 70569 Stuttgart, Germany;2. Faculté des Sciences, de la Technologie et de la Communication, University of Luxembourg, 162 A, avenue de la Faïencerie, 1511 Luxembourg, Luxembourg;3. ITB, Institute of Technical Biochemistry, University of Stuttgart, Allmandring 31, 70569 Stuttgart, Germany
Abstract:We present the software package FRESHS (http://www.freshs.org) for parallel simulation of rare events using sampling techniques from the ‘splitting’ family of methods. Initially, Forward Flux Sampling (FFS) and Stochastic Process Rare Event Sampling (SPRES) have been implemented. These two methods together make rare event sampling available for both quasi-static and full non-equilibrium regimes. Our framework provides a plugin system for software implementing the underlying physics of the system of interest. At present, example plugins exist for our framework to steer the popular MD packages GROMACS, LAMMPS and ESPResSo, but due to the simple interface of our plugin system, it is also easy to attach other simulation software or self-written code. Use of our framework does not require recompilation of the simulation program. The modular structure allows the flexible implementation of further sampling methods or physics engines and creates a basis for objective comparison of different sampling algorithms.
Keywords:Rare event sampling   Forward Flux Sampling (FFS)   Stochastic Process Rare Event Sampling (SPRES)   GROMACS   LAMMPS   ESPResSo   HPC   Chemical physics
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号