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Fast and accurate Coulomb calculation with Gaussian functions

机译:利用高斯函数快速准确地进行库仑计算

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Coulomb interaction is one of the major time-consuming components in a density functional theory (DFT) calculation. In the last decade, dramatic progresses have been made to improve the efficiency of Coulomb calculation, including continuous fast multipole method (CFMM) and J-engine method, all developed first inside Q-Chem. The most recent development is the advent of Fourier transform Coulomb method developed by Fusti-Molnar and Pulay, and an improved version of the method has been recently implemented in Q-Chem. It replaces the least efficient part of the previous Coulomb methods with an accurate numerical integration scheme that scales in O(N-2) instead of O(N-4) with the basis size. The result is a much smaller slope in the linear scaling with respect to the molecular size and we will demonstrate through a series of benchmark calculations that it speeds up the calculation of Coulomb energy by several folds over the efficient existing code, i.e., the combination of CFMM and J-engine, without loss of accuracy. Furthermore, we will show that it is complementary to the latter and together the three methods offer the best performance for Coulomb part of DFT calculations, making the DFT calculations affordable for very large systems involving thousands of basis functions. (C) 2005 American Institute of Physics.
机译:库仑相互作用是密度泛函理论(DFT)计算中主要的耗时组件之一。在过去的十年中,在提高库仑计算效率方面取得了重大进展,包括连续快速多极方法(CFMM)和J引擎方法,所有这些方法都是Q-Chem内部首先开发的。最近的发展是由Fusti-Molnar和Pulay开发的傅里叶变换库仑方法的问世,该方法的改进版本最近已在Q-Chem中实现。它用一个精确的数值积分方案代替了以前的库仑方法中效率最低的部分,该方案以O(N-2)代替基本尺寸的O(N-4)。结果是线性定标相对于分子大小的斜率要小得多,我们将通过一系列基准计算证明,它可以比现有的有效代码将库仑能量的计算速度提高几倍,即CFMM和J引擎,而不会损失准确性。此外,我们将证明它是后者的补充,并且这三种方法一起为DFT计算的库仑部分提供了最佳性能,这使得DFT计算对于涉及数千个基本函数的超大型系统而言是可以承受的。 (C)2005美国物理研究所。

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