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Laplace transformed MP2 for three dimensional periodic materials using stochastic orbitals in the plane wave basis and correlated sampling

机译:Laplace在平面波基的基础上使用随机轨道和相关采样的随机轨道转换MP2

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摘要

We present an implementation and analysis of a stochastic high performance algorithm to calculate the correlation energy of three-dimensional periodic systems in second-order Moller-Plesset perturbation theory (MP2). In particular we measure the scaling behavior of the sample variance and probe whether this stochastic approach is competitive if accuracies well below 1 meV per valence orbital are required, as it is necessary for calculations of adsorption, binding, or surface energies. The algorithm is based on the Laplace transformed MP2 (LTMP2) formulation in the plane wave basis. The time-dependent Hartree-Fock orbitals, appearing in the LTMP2 formulation, are stochastically rotated in the occupied and unoccupied Hilbert space. This avoids a full summation over all combinations of occupied and unoccupied orbitals, as inspired by the work of Neuhauser, Rabani, and Baer [J. Chem. Theory Comput. 9, 24 (2013)]. Additionally, correlated sampling is introduced, accelerating the statistical convergence significantly. Published by AIP Publishing.
机译:我们提出了一个随机的高性能算法的实现和分析来计算二阶多体微扰理论(MP2)三维周期系统的相关能量。特别是,我们测量所述样本方差和探针的缩放行为这个随机方法是否是有竞争力的,如果需要每价轨道精度远低于1兆电子伏,因为这是必要的吸附的计算,结合,或表面能。该算法基于平面波的拉普拉斯变换的MP2(LTMP2)配方。在LTMP2配方中出现的时间依赖的Hartree-Fock轨道在占用和未被占用的希尔伯特空间中随机旋转。这避免了占用和未占用的轨道的所有组合的完整总结,这是由Neuhauser,Rabani和Baer的工作的启发的启发[J.化学。理论计算。 9,24(2013)]。另外,引入相关采样,显着加速统计收敛。通过AIP发布发布。

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