Gillan M J, Alfè D, Manby F R
London Centre for Nanotechnology, University College London, Gordon St., London WC1H 0AH, United Kingdom.
Centre for Computational Chemistry, School of Chemistry, University of Bristol, Bristol BS8 1TS, United Kingdom.
J Chem Phys. 2015 Sep 14;143(10):102812. doi: 10.1063/1.4926444.
The quantum Monte Carlo (QMC) technique is used to generate accurate energy benchmarks for methane-water clusters containing a single methane monomer and up to 20 water monomers. The benchmarks for each type of cluster are computed for a set of geometries drawn from molecular dynamics simulations. The accuracy of QMC is expected to be comparable with that of coupled-cluster calculations, and this is confirmed by comparisons for the CH4-H2O dimer. The benchmarks are used to assess the accuracy of the second-order Møller-Plesset (MP2) approximation close to the complete basis-set limit. A recently developed embedded many-body technique is shown to give an efficient procedure for computing basis-set converged MP2 energies for the large clusters. It is found that MP2 values for the methane binding energies and the cohesive energies of the water clusters without methane are in close agreement with the QMC benchmarks, but the agreement is aided by partial cancelation between 2-body and beyond-2-body errors of MP2. The embedding approach allows MP2 to be applied without loss of accuracy to the methane hydrate crystal, and it is shown that the resulting methane binding energy and the cohesive energy of the water lattice agree almost exactly with recently reported QMC values.
量子蒙特卡罗(QMC)技术用于为包含单个甲烷单体和多达20个水分子单体的甲烷 - 水团簇生成精确的能量基准。针对从分子动力学模拟中提取的一组几何结构,计算每种类型团簇的基准。预计QMC的精度与耦合簇计算的精度相当,并且通过对CH4 - H2O二聚体的比较得到了证实。这些基准用于评估接近完全基组极限的二阶莫勒 - 普列斯特定理(MP2)近似的精度。结果表明,一种最近开发的嵌入式多体技术为计算大团簇的基组收敛MP2能量提供了一种有效的方法。研究发现,甲烷结合能和不含甲烷的水团簇内聚能的MP2值与QMC基准值非常吻合,但这种吻合得益于MP2的二体误差和二体以上误差之间的部分抵消。这种嵌入方法使得MP2能够在不损失精度的情况下应用于甲烷水合物晶体,并且结果表明,由此得到的甲烷结合能和水晶格内聚能几乎与最近报道的QMC值完全一致。