Least-squares fitting approach using energy, gradient and Hessian data to obtain an accurate quartic force field : Application to H2O and H2CO

Physics – Chemical Physics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

22 pages, 1 figure, 4 tables, 1 appendix, pdf format

Scientific paper

In this work we present an attractive least-squares fitting procedure to obtain a quartic force field by using energy, gradient and Hessian data arising from electronic wave function calculations on a suitably chosen grid of points. We use the experimental design to select the grid points : a simplex-sum of Box and Behnken grid is used for its efficiency and accuracy. We illustrate the numerical implementation of the method by using energy and gradient data and we test for H2O and H2CO the B3LYP/cc-pVTZ quartic force field performed from 11 and 44 simplex-sum configurations. Results compared to classical 44 and 168 energy calculations, show excellent agreement.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Least-squares fitting approach using energy, gradient and Hessian data to obtain an accurate quartic force field : Application to H2O and H2CO does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Least-squares fitting approach using energy, gradient and Hessian data to obtain an accurate quartic force field : Application to H2O and H2CO, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Least-squares fitting approach using energy, gradient and Hessian data to obtain an accurate quartic force field : Application to H2O and H2CO will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-292407

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.