Suppr超能文献

基于图形处理器(GPU)的从头算交互式分子动力学

Ab initio interactive molecular dynamics on graphical processing units (GPUs).

作者信息

Luehr Nathan, Jin Alex G B, Martínez Todd J

机构信息

Department of Chemistry and PULSE Institute, Stanford University , Stanford, California 94305, United States.

SLAC National Accelerator Laboratory , 2575 Sand Hill Road, Menlo Park, California 94025, United States.

出版信息

J Chem Theory Comput. 2015 Oct 13;11(10):4536-44. doi: 10.1021/acs.jctc.5b00419. Epub 2015 Sep 15.

Abstract

A virtual molecular modeling kit is developed based on GPU-enabled interactive ab initio molecular dynamics (MD). The code uses the TeraChem and VMD programs with a modified IMD interface. Optimization of the GPU accelerated TeraChem program specifically for small molecular systems is discussed, and a robust multiple time step integrator is employed to accurately integrate strong user-supplied pulling forces. Smooth and responsive visualization techniques are developed to allow interactive manipulation at minimum simulation rates below five MD steps per second. Representative calculations at the Hartree-Fock level of theory are demonstrated for molecular systems containing up to a few dozen atoms.

摘要

基于支持GPU的交互式从头算分子动力学(MD)开发了一种虚拟分子建模工具包。该代码使用带有修改后的IMD接口的TeraChem和VMD程序。讨论了专门针对小分子系统的GPU加速TeraChem程序的优化,并采用了强大的多时间步积分器来精确积分用户提供的强大拉力。开发了平滑且响应灵敏的可视化技术,以允许在每秒低于五个MD步的最小模拟速率下进行交互式操作。展示了针对包含多达几十个原子的分子系统在哈特里-福克理论水平上的代表性计算。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验