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首页> 外文期刊>Journal of Computational Electronics >Convergence of density functional iterative procedures with a Newton-Raphson algorithm
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Convergence of density functional iterative procedures with a Newton-Raphson algorithm

机译:牛顿-拉夫森算法在密度泛函迭代过程中的收敛性

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State of the art first-principles calculations of electronic structures aim at finding the ground state electronic density distribution. The performance of such methodologies is determined by the effectiveness of the iterative solution of the nonlinear density functional Kohn-Sham equations. We first outline a solution strategy based on the Newton-Raphson method. A form of the algorithm is then applied to the simplest and earliest density functional model, i.e., the atomic Thomas-Fermi model. For the neutral atom, we demonstrate the effectiveness of a charge conserving Newton-Raphson iterative method for the computation, which is independent of the starting guess; it converges rapidly, even for a randomly selected normalized starting density.
机译:电子结构的最先进的第一性原理计算旨在寻找基态电子密度分布。这种方法的性能取决于非线性密度泛函Kohn-Sham方程的迭代解的有效性。我们首先概述基于牛顿-拉夫森方法的解决方案策略。然后将算法的一种形式应用于最简单和最早的密度泛函模型,即原子Thomas-Fermi模型。对于中性原子,我们证明了电荷守恒Newton-Raphson迭代方法在计算中的有效性,该方法与初始猜测无关。即使对于随机选择的标准化起始密度,它也会快速收敛。

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