Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Using simultaneous diagonalization and trace minimization to make an efficient and simple multidimensional basis for

Richard Dawes1, Tucker Carrington

  • 1Département de chimie, Université de Montréal, C.P. 6128, succursale Centre-ville, Montréal (Québec) H3C 3J7, Canada. r.dawes@umontreal.ca

The Journal of Chemical Physics
|February 14, 2006
PubMed
Summary

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same authorSame journal

Using a low-storage contour-integral eigensolver for nonsymmetric matrices with collocation to compute vibrational spectra.

The Journal of chemical physics·2026
Same author

Importance of Monomer-Flexibility Effects for Spectra of Molecular Clusters.

The journal of physical chemistry letters·2026
Same author

Using Weighted and Chopped Rectangular Collocation Methods with Tensor-Product Contracted Bases To Compute Vibrational Spectra: Avoiding Quadrature.

Journal of chemical theory and computation·2026
Same author

Quantum scattering of HC5N and para-H2 on a new potential energy surface.

The Journal of chemical physics·2026
Same author

Long-Range Fit: A Software Package for the Representation and Study of Long-Range Molecular Interactions.

Journal of chemical theory and computation·2026
Same author

Breaking the 1 cm<sup>-1</sup> Discrepancy with Experiment Limit in First-Principles Calculations of Water Dimer Vibration-Rotation-Tunneling Spectra.

The journal of physical chemistry letters·2025

We improved the simultaneous diagonalization (SD) basis method to solve the Schrodinger equation. A new trace minimization scheme optimizes parameters, enabling accurate nuclear motion calculations with matrix truncation.

Area of Science:

  • Quantum Chemistry
  • Computational Physics
  • Theoretical Chemistry

Background:

  • Solving the Schrodinger equation is crucial for understanding molecular systems.
  • The simultaneous diagonalization (SD) basis method offers a way to tackle complex nuclear motion problems.
  • Previous SD methods required further optimization for efficiency and accuracy.

Purpose of the Study:

  • To enhance the product simultaneous diagonalization (SD) basis method for solving the Schrodinger equation.
  • To introduce a trace minimization scheme for optimizing basis functions.
  • To enable accurate and efficient computation of nuclear motion on potential energy surfaces.

Main Methods:

  • Improvement of the product simultaneous diagonalization (SD) basis method.

Related Experiment Videos

  • Application to Hamiltonians with up to 16 coordinates.
  • Development of a trace minimization scheme to determine the localization parameter (alphac) of 1D SD functions.
  • Nearly block diagonalization of the Hamiltonian matrix.
  • Main Results:

    • The improved SD method accurately solves the Schrodinger equation for complex systems.
    • The trace minimization scheme effectively optimizes the basis set, leading to near-block diagonal Hamiltonian matrices.
    • Matrix truncation is possible without sacrificing accuracy for low energy levels.
    • Perturbation theory performs exceptionally well within the optimized SD basis.

    Conclusions:

    • The enhanced SD method with trace minimization provides an accurate and efficient approach for nuclear motion calculations.
    • The trace minimization scheme is general and straightforward to implement.
    • This method facilitates accurate determination of energy levels through matrix truncation.