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A Well-Tempered Hybrid Method for Solving Challenging Time-Dependent Density Functional Theory (TDDFT) Systems

机译:一种解决挑战时间依赖性密度泛函理论(TDDFT)系统的升高的混合方法

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摘要

The time-dependent Hartree-Fock (TDHF) and time dependent density functional theory (TDDFT) equations allow one to probe electronic resonances of a system quickly and inexpensively. However, the iterative solution of the eigenvalue problem can be challenging or impossible to converge, using standard methods such as the Davidson algorithm for spectrally dense regions in the interior of the spectrum, as are common in X-ray absorption spectroscopy (XAS). More robust solvers, such as the generalized preconditioned locally harmonic residual (GPLHR) method, can alleviate this problem, but at the expense of higher average computational cost. A hybrid method is proposed which adapts to the problem in order to maximize computational performance while providing the superior convergence of GPLHR. In addition, a modification to the GPLHR algorithm is proposed to adaptively choose the shift parameter to enforce a convergence of states above a predefined energy threshold.
机译:时间依赖的Hartree-Fock(TDHF)和时间依赖性密度泛函理论(TDDFT)方程允许允许快速且廉价地探测系统的电子共振。 然而,使用标准方法(例如频谱内部的光谱致密区域),如X射线吸收光谱(XAS)中常见的标准方法,所以,特征值问题的迭代解决方案可能是具有挑战性的或不可能收敛。 更强大的求解器,例如广义预先说明的局部谐波残差(GPLHR)方法,可以缓解这个问题,但以牺牲更高的平均计算成本为代价。 提出了一种混合方法,其适应问题,以便最大化计算性能,同时提供GPLHR的卓越收敛性。 另外,提出了对GPLHR算法的修改以自适应地选择移位参数以强制执行预定能量阈值之上的状态的收敛。

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