Ground-state properties of the water molecule by reptation quantum Monte Carlo

Daniel G. Oblinsky , Wai Kong Yuen , Stuart M. Rothstein
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引用次数: 4

Abstract

Reptation quantum Monte Carlo (RQMC) is a Markov chain and Metropolis-Hastings type algorithm. In this paper RQMC-variants are implemented for the ground-state of water molecule, whereby adjustments are made to the Metropolis decision to utilize the trial density at strategic reptile locations and to impose microscopic reversibility on the electron moves. Our objective is to identify the adjustment which gives one-electron properties of the water molecule which best agree with highly-accurate determinations in the literature. Other than for the energy, RQMC, when implemented with a single-ζ STO guiding function, does not significantly improve the variational estimates. For a double-ζ STO case, the RQMC-HT variant that adjusts the Metropolis decision at where new scales are being added clearly provides the most precise estimates with negligible bias. For double-ζ and triple-ζ cases, each with polarization, RQMC-HT still outperforms the others, but, as expected, to a much lesser extent.

用重复量子蒙特卡罗研究水分子的基态性质
重复量子蒙特卡罗(RQMC)是一种马尔可夫链和Metropolis-Hastings型算法。本文对水分子的基态实施了rqmc -变体,从而对Metropolis决策进行了调整,以利用爬行动物战略位置的试验密度,并对电子运动施加微观可逆性。我们的目标是确定调整,使水分子的单电子性质最符合文献中高精度的测定。除了能量之外,RQMC,当用单个-ζ STO指导函数实现时,并没有显著改善变分估计。对于一个双ζ STO的情况下,RQMC-HT的变体,调整大都市的决定在哪里新的尺度被添加清楚地提供了最精确的估计与可忽略不计的偏差。对于双-ζ和三-ζ,每一个都有极化,RQMC-HT仍然优于其他,但是,正如预期的那样,程度要小得多。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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