论文标题
量子蒙特卡洛的原子力:应用于声子分散计算
Atomic forces by quantum Monte Carlo: application to phonon dispersion calculation
论文作者
论文摘要
我们将{\ it Ab intio}量子蒙特卡洛(QMC)框架的第一个成功应用程序成功地应用于声子分散计算。基于冷冻 - 光子技术,在变异的蒙特卡洛(VMC)水平上成功计算了钻石的完整声子分散。 VMC-PHONON分散剂与实验结果非常吻合,从而通过在广义梯度近似中显着改善密度功能理论(DFT),从而使重新归一化的谐波光学频率非常接近实验值。 QMC方法成功的关键是原子力评估的统计误差降低。我们表明,可以通过使用良好的原子基集来实现这一目标,通过明确删除基础冗余,从而将力的统计误差降低了两个数量级。这导致负担得起,准确的QMC-Phonons计算,高达$ 10^{4} $ $倍的效率比以前的尝试效率高,并铺平了通往新应用程序的方式,尤其是在相关材料中,到目前为止,声子在迄今为止的复制不良。
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.