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Recent advances in computational

Quantum Monte Carlo Calculation of Atoms and Molecules

Kaoru Iguchi

Published May 1, 1997• 0 citations
Publisher
DOI
10.1142/9789812819710_0006

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We propose a method to remove the large statistical fluctuations coming from the core regions when applying an all-electron Variational Monte Carlo method to a molecule. It is based on an efficient subsampling approach which performs sidewalks in these regions. The gain in variance is displayed for a series of atoms and we show that this gain is transferable to molecules on alkane chains and clusters of silicon. For these systems the gain in numerical efficiency is presented, and can be extrapolated to ∼ 22 and ∼ 420 for larger systems when computing the variational energy with a Slater determinant. These results are a proof of concept for numerically affordable all-electron quantum Monte Carlo calculations on molecules with large atomic charges.

•Dec 15, 2020•0 citations
We propose a method to remove the large statistical fluctuations coming from the core regions when applying an all-electron Variational Monte Carlo method to a molecule. It is based on an efficient subsampling approach which performs sidewalks in these regions. The gain in variance is displayed for a series of atoms and we show that this gain is transferable to molecules on alkane chains and clusters of silicon. For these systems the gain in numerical efficiency is presented, and can be extrapolated to ∼ 22 and ∼ 420 for larger systems when computing the variational energy with a Slater determinant. These results are a proof of concept for numerically affordable all-electron quantum Monte Carlo calculations on molecules with large atomic charges.