Efficient sampling for ab initio Monte Carlo simulation of molecular clusters using an interpolated potential energy surface

• Nakayama, Akira

• Seki, Nanami

• Taketsugu, Tetsuya

抄録

An approach is developed to enhance sampling for ab initioMonte Carlo and ab initio path integral Monte Carlo calculations of molecular clusters by utilizing an approximate potential as a guide to move in the configuration space more efficiently. The interpolatedpotential energy obtained by the moving least-squares method is used as an approximate potential, and this scheme is applied to a water molecule and small protonated water clusters (H3O+,H5O2+). It is found that the statistical errors are reduced by almost a factor of 3 in most calculations, which translates into a reduction in the computational cost by an order of magnitude. We also provide an automatic scheme where the ab initio data obtained during the simulation is added to the reference data set of interpolation dynamically, which further speeds up the convergence.

収録刊行物

• Journal of chemical physics

  Journal of chemical physics 130 (2), 024107-1-024107-10, 2009-01-13

詳細情報

• CRID: 1050001339015758720
• NII論文ID: 120005460252
• NII書誌ID: AA00694991
• ISSN: 10897690
• ISSN: 00219606
• HANDLE: 2115/56631
• 本文言語コード: en
• 資料種別: journal article
• データソース種別:
  • IRDB
  • CiNii Articles