量子蒙特卡罗原子力:声子色散计算的应用

K. Nakano, Tommaso Morresi, M. Casula, R. Maezono, S. Sorella
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引用次数: 9

摘要

我们报告了{\it从头开始}量子蒙特卡罗(QMC)框架在声子色散计算中的首次成功应用。基于冻结声子技术,在变分蒙特卡罗(VMC)水平上成功地计算了金刚石的全声子色散。在广义梯度近似的密度泛函理论(DFT)的基础上,vmc -声子色散得到了与实验值非常接近的重归一化谐波光频率,与实验结果吻合良好。QMC方法成功的关键是减少原子力评估中的统计误差。我们表明,这可以通过使用条件良好的原子基集来实现,通过显式地去除基集冗余,这将力的统计误差降低了两个数量级。这使得qmc -声子的计算更加实惠和精确,效率比之前的尝试提高了10^{4}$,并为新的应用铺平了道路,特别是在相关材料中,声子到目前为止的重现性很差。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Atomic forces by quantum Monte Carlo: Application to phonon dispersion calculations
We report the first successful application of the {\it ab initio} quantum Monte Carlo (QMC) framework to a phonon dispersion calculation. A full phonon dispersion of diamond is successfully calculated at the variational Monte Carlo (VMC) level, based on the frozen-phonon technique. The VMC-phonon dispersion is in good agreement with the experimental results, giving renormalized harmonic optical frequencies very close to the experimental values, by significantly improving upon density functional theory (DFT) in the generalized gradient approximation. Key to success for the QMC approach is the statistical error reduction in atomic force evaluation. We show that this can be achieved by using well conditioned atomic basis sets, by explicitly removing the basis-set redundancy, which reduces the statistical error of forces by up to two orders of magnitude. This leads to affordable and accurate QMC-phonons calculations, up to $10^{4}$ times more efficient than previous attempts, and paves the way to new applications, particularly in correlated materials, where phonons have been poorly reproduced so far.
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