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A fast and accurate computational method for the linear-combination-based isotropic periodic sum

机译:基于线性组合的各向同性周期和的快速精确计算方法

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摘要

An isotropic periodic sum (IPS) is a powerful technique to reasonably calculate intermolecular interactions for wide range of molecular systems under periodic boundary conditions. A linear-combination-based IPS (LIPS) has been developed to attain computational accuracy close to an exact lattice sum, such as the Ewald sum. The algorithm of the original LIPS method has a high computational cost because it needs long-range interaction calculations in real space. This becomes a performance bottleneck for long-time molecular simulations. In this work, the combination of an LIPS and fast Fourier transform (FFT) was developed, and evaluated on homogeneous and heterogeneous molecular systems. This combinational approach of LIPS/FFT attained computational efficiency close to that of a smooth particle mesh Ewald while maintaining the same high accuracy as the original LIPS. We concluded that LIPS/FFT has great potential to extend the capability of IPS techniques for the fast and accurate computation of many types of molecular systems.
机译:各向同性的周期总和(IPS)是一种强大的技术,可以合理地计算周期边界条件下各种分子系统的分子间相互作用。已经开发了基于线性组合的IPS(LIPS),以达到接近精确晶格和(例如Ewald和)的计算精度。原始LIPS方法的算法具有很高的计算成本,因为它需要在现实空间中进行远程交互计算。这成为长时间分子模拟的性能瓶颈。在这项工作中,开发了LIPS和快速傅立叶变换(FFT)的组合,并在同质和异质分子系统上进行了评估。 LIPS / FFT的这种组合方法在保持与原始LIPS相同的高精度的同时,获得了接近平滑粒子网格Ewald的计算效率。我们得出的结论是,LIPS / FFT在扩展IPS技术的能力方面具有巨大潜力,可以快速,准确地计算多种类型的分子系统。

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