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COMPUTATION OF HIGH-ENERGY VIBRATIONAL EIGENSTATES - APPLICATION TO C6H5D

机译:高能振动本征态的计算-在C6H5D中的应用

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In this study, a two loop iteration scheme, similar to one developed recently [Phys. Rev. E 51, 3643 (1995)], is applied to the computation of high energy vibrational eigenstates in 21-mode planar C6H5D. The computational method is based upon the use of a spectral filter to extract a small number of eigenpairs (near the test input energy E) from the interior of the dense energy spectrum. In the outer iteration loop, a very effective filter, the Green function G(E)=(El-H)(-1), is used to drive the Lanczos recursion algorithm through a small number of steps (frequently <10). The result is a small tridiagonal representation of the Green function. The Lanczos algorithm converges quickly because the desired eigenvalues, those near the test energy, are mapped to the extreme edges of the spectrum of the filter. In order to apply the Green function to the current Lanczos vector, a matrix partitioning technique is combined with a perturbation-iteration method in the inner iteration loop. The Green function-lanczos algorithm, GFLA, was then used to compute eigenstates for 21-mode planar C6H5D near the energy of the upsilon=3 CD overtone (about 6700 cm(-1)). These computations were done using an active space with the dimension 20000. The resulting eigenfunctions were then subjected to several types of analysis, including basis state and vibrational mode distributions. It is shown that the energetic distribution of basis functions in the eigenvectors exhibits multifractal scaling (finer features built upon coarser features). (C) 1995 American Institute of Physics. [References: 63]
机译:在这项研究中,有两种循环迭代方案,类似于最近开发的一种方案。 Rev.E 51,3643(1995)]被应用于21-模式平面C6H5D中高能振动本征态的计算。该计算方法基于使用光谱滤波器从密集能谱内部提取少量特征对(在测试输入能量E附近)。在外部迭代循环中,一个非常有效的滤波器,即格林函数G(E)=(El-H)(-1),用于通过少量步骤(通常<10)来驱动Lanczos递归算法。结果是格林函数的一个小的对角线表示。 Lanczos算法收敛很快,因为所需的特征值(靠近测试能量)已映射到滤波器频谱的最边缘。为了将Green函数应用于当前Lanczos向量,在内部迭代循环中将矩阵划分技术与摄动迭代方法结合在一起。然后使用Green函数Lanczos算法GFLA,计算upsilon = 3 CD泛音(约6700 cm(-1))的能量附近的21模平面C6H5D的本征态。这些计算是使用尺寸为20000的活动空间完成的。然后对所得的本征函数进行几种类型的分析,包括基本状态和振动模式分布。结果表明,特征向量中基函数的能量分布表现出多重分形标度(基于较粗特征的更精细特征)。 (C)1995年美国物理研究所。 [参考:63]

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