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Interpolated potential energy surfaces: How accurate do the second derivatives have to be?
1School of Chemistry, University of Sydney, New South Wales 2006, Australia.
The Journal of Chemical Physics
|March 3, 2005
Summary
Constructing a water dimer potential energy surface requires accurate second derivatives. Our study shows that including three significant figures or decimal places in these derivatives ensures convergence for quantum diffusion Monte Carlo simulations.
Area of Science:
- Computational Chemistry
- Theoretical Chemistry
- Molecular Modeling
Background:
- Accurate potential energy surfaces (PES) are crucial for molecular simulations.
- The modified Shepard interpolation scheme is a robust method for constructing global PES.
- Ab initio calculations can introduce errors in derivative data, impacting PES accuracy.
Purpose of the Study:
- To construct a global potential energy surface for the water dimer.
- To assess the impact of second derivative accuracy on quantum diffusion Monte Carlo (QDMC) simulations.
- To determine the required precision of second derivative data for accurate PES representation.
Main Methods:
- Utilized the modified Shepard interpolation scheme for PES construction.
- Employed ab initio calculations to obtain energy and derivative data.
- Performed truncation of exact second derivatives to approximate series.
- Conducted quantum diffusion Monte Carlo (QDMC) simulations to evaluate PES accuracy.
Main Results:
- The accuracy of the second derivative matrix was tested by truncation.
- Convergence of zero-point energy and wave function histograms was achieved.
- Inclusion of three significant figures or three decimal places in second derivatives was sufficient for convergence.
- Results converged within the numerical uncertainty of the QDMC simulation.
Conclusions:
- The modified Shepard interpolation scheme is effective for water dimer PES construction.
- Precise second derivative data is essential for reliable QDMC simulations.
- A specific level of precision (three significant figures/decimal places) in second derivatives ensures accurate simulation outcomes.