首页> 外文期刊>Journal of Computational Chemistry: Organic, Inorganic, Physical, Biological >Three pillars for achieving quantum mechanical molecular dynamics simulations of huge systems: Divide-and-conquer, density-functional tight-binding, and massively parallel computation
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Three pillars for achieving quantum mechanical molecular dynamics simulations of huge systems: Divide-and-conquer, density-functional tight-binding, and massively parallel computation

机译:实现大型系统的量子力学分子动力学模拟的三大支柱:分而治之,密度函数紧密结合和大规模并行计算

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摘要

The linear-scaling divide-and-conquer (DC) quantum chemical methodology is applied to the density-functional tight-binding (DFTB) theory to develop a massively parallel program that achieves on-the-fly molecular reaction dynamics simulations of huge systems from scratch. The functions to perform large scale geometry optimization and molecular dynamics with DC-DFTB potential energy surface are implemented to the program called DC-DFTB-K. A novel interpolation-based algorithm is developed for parallelizing the determination of the Fermi level in the DC method. The performance of the DC-DFTB-K program is assessed using a laboratory computer and the K computer. Numerical tests show the high efficiency of the DC-DFTB-K program, a single-point energy gradient calculation of a one-million-atom system is completed within 60 s using 7290 nodes of the K computer. (c) 2016 Wiley Periodicals, Inc.
机译:将线性尺度分治法(DC)量子化学方法学应用于密度泛函紧密结合(DFTB)理论,以开发大规模并行程序,该程序可从以下位置实现大型系统的动态分子反应动力学仿真刮。使用DC-DFTB势能面执行大规模几何优化和分子动力学的功能已实现到名为DC-DFTB-K的程序。开发了一种新颖的基于插值的算法,用于并行化直流法中费米能级的确定。使用实验室计算机和K计算机评估DC-DFTB-K程序的性能。数值测试表明,DC-DFTB-K程序具有很高的效率,使用K计算机的7290个节点,可以在60 s内完成一百万个原子系统的单点能量梯度计算。 (c)2016年威利期刊有限公司

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