Molecular potential energy surfaces by interpolation: Strategies for faster convergence
Author(s) -
Gloria E. Moyano,
Michael A. Collins
Publication year - 2004
Publication title -
the journal of chemical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.071
H-Index - 357
eISSN - 1089-7690
pISSN - 0021-9606
DOI - 10.1063/1.1809579
Subject(s) - interpolation (computer graphics) , convergence (economics) , selection (genetic algorithm) , scheme (mathematics) , energy (signal processing) , algorithm , variance (accounting) , mathematics , mathematical optimization , computer science , statistics , mathematical analysis , artificial intelligence , business , accounting , economics , economic growth , motion (physics)
A method for interpolating molecular potential energy surfaces introduced [Ischtwan and Collins, J. Chem. Phys. 100, 8080 (1994)] and developed as an iterative scheme has been improved by different criteria for the selection of the data points. Refinements in the selection procedure are based on the variance of the interpolation and the direct exploration of the interpolation error, and produce more accurate surfaces than the previously established scheme for the same number of data points.
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