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Optimized Structure and Vibrational Properties by Error Affected Potential Energy Surfaces

机译:优化结构和振动性质的错误影响势能面

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摘要

The precise theoretical determination of the geometrical parameters of molecules at the minima of their potential energy surface and of the corresponding vibrational properties are of fundamental importance for the interpretation of vibrational spectroscopy experiments. Quantum Monte Carlo techniques are correlated electronic structure methods promising for large molecules, which are intrinsically affected by stochastic errors on both energy and force calculations, making the mentioned calculations more challenging with respect to other more traditional quantum chemistry tools. To circumvent this drawback in the present work, we formulate the general problem of evaluating the molecular equilibrium structures, the harmonic frequencies, and the anharmonic coefficients of an error affected potential energy surface. The proposed approach, based on a multidimensional fitting procedure, is illustrated together with a critical evaluation of systematic and statistical errors. We observe that the use of forces instead of energies in the fitting procedure reduces the statistical uncertainty of the vibrational parameters by 1 order of magnitude. Preliminary results based on variational Monte Carlo calculations on the water molecule demonstrate the possibility to evaluate geometrical parameters and harmonic and anharmonic coefficients at this level of theory with an affordable computational cost and a small stochastic uncertainty (<0.07% for geometries and <0.7% for vibrational properties).
机译:对分子的势能面最小值和相应的振动特性的几何参数进行精确的理论确定,对于解释振动光谱实验至关重要。量子蒙特卡洛技术是相关的电子结构方法,有望用于大分子,能量和力计算均受到随机误差的内在影响,因此相对于其他更传统的量子化学工具,上述计算更具挑战性。为了避免在当前工作中出现此缺陷,我们提出了一个普遍的问题,即评估分子平衡结构,谐波频率和受误差影响的势能面的非谐系数。提出了基于多维拟合过程的方法,并对系统和统计错误进行了严格评估。我们观察到,在拟合过程中使用力代替能量可以将振动参数的统计不确定性降低1个数量级。基于对水分子的蒙特卡罗变分计算的初步结果表明,可以在此理论水平上以可承受的计算成本和较小的随机不确定性(对于几何形状<0.07%,对于几何形状<0.7%,振动特性)。

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