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Optimization of nonlinear wave function parameters

机译:非线性波动函数参数的优化

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An energy-based optimization method is presented for our recently developed nonlinear wave function expansion form for electronic wave functions. This expansion form is based on spin eigenfunctions, using the graphical unitary group approach (GUGA). The wave function is expanded in a basis of product functions, allowing application to closed-shell and open-shell systems and to ground and excited electronic states. Each product basis function is itself a multiconfigurational function that depends on a relatively small number of nonlinear parameters called arc factors. The energy-based optimization is formulated in terms of analytic arc factor gradients and orbital-level Hamiltonian matrices that correspond to a specific kind of uncontraction of each of the product basis functions. These orbital-level Hamiltonian matrices give an intuitive representation of the energy in terms of disjoint subsets of the arc factors, they provide for an efficient computation of gradients of the energy with respect to the arc factors, and they allow optimal arc factors to be determined in closed form for subspaces of the full variation problem. Timings for energy and arc factor gradient computations involving expansion spaces of > 10(24) configuration state functions are reported. Preliminary convergence studies and molecular dissociation curves are presented for some small molecules. (c) 2006 Wiley Periodicals, Inc.
机译:针对我们最近开发的电子波函数的非线性波函数展开形式,提出了一种基于能量的优化方法。此扩展形式基于自旋本征函数,使用图形unit群方法(GUGA)。波函数是在产品函数的基础上扩展的,从而允许应用于封闭壳和开放壳系统以及基态和激发态电子状态。每个乘积基函数本身就是一个多配置函数,它依赖于称为电弧因子的相对少量的非线性参数。基于能量的优化是根据解析弧因子梯度和轨道级哈密顿矩阵来制定的,这些矩阵对应于每个乘积基函数的特定非收缩形式。这些轨道级哈密顿矩阵以电弧因子的不相交子集的形式直观地表示了能量,它们提供了相对于电弧因子的能量梯度的高效计算,并且它们允许确定最佳电弧因子完全变体问题的子空间为封闭形式。报告了能量和电弧因子梯度计算的时序,这些时序涉及> 10(24)配置状态函数的扩展空间。给出了一些小分子的初步收敛研究和分子解离曲线。 (c)2006年Wiley Periodicals,Inc.

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