2021-01-20T08:10:31Zhttps://eprints.lib.hokudai.ac.jp/dspace-oai/requestoai:eprints.lib.hokudai.ac.jp:2115/566312019-05-17T00:31:21Zhdl_2115_20059hdl_2115_151Efficient sampling for ab initio Monte Carlo simulation of molecular clusters using an interpolated potential energy surfaceNakayama, AkiraSeki, NanamiTaketsugu, Tetsuya431An 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.Journal Articleapplication/pdfhttp://hdl.handle.net/2115/56631https://eprints.lib.hokudai.ac.jp/dspace/bitstream/2115/56631/1/JCP_130_024107_1.3055910.pdf0021-96061089-7690AA00694991Journal of chemical physics1302024107-1024107-102009-01-13enginfo:pmid/19154019info:doi/10.1063/1.3055910Copyright 2009 American Institute of Physics. This article may be downloaded for personal use only. Any other use requires prior permission of the author and the American Institute of Physics. The following article appeared in The Journal of Chemical Physics 130, 024107 (2009) and may be found at http://dx.doi.org/10.1063/1.3055910.publisher