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A general non-Abelian density matrix renormalization group algorithm with application to the C2 dimer.

Sandeep Sharma1

  • 1Department of Chemistry, Frick Laboratory, Princeton University, Princeton, New Jersey 08544, USA.

The Journal of Chemical Physics
|January 17, 2015
PubMed
Summary
This summary is machine-generated.

We developed a new computational method combining spin and point group symmetries for accurate electronic structure calculations. This approach precisely determines molecular energies and excitation states for systems like the C2 dimer.

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Area of Science:

  • Computational Chemistry
  • Quantum Chemistry
  • Theoretical Chemistry

Background:

  • Previous work established a spin-adapted density matrix renormalization group algorithm.
  • General non-Abelian point group symmetries were not fully integrated into such algorithms.

Purpose of the Study:

  • To extend the spin-adapted density matrix renormalization group algorithm to incorporate general non-Abelian point group symmetries.
  • To develop a versatile implementation capable of enabling or disabling various symmetry groups dynamically.

Main Methods:

  • The study employed a novel formulation for tensor operators, generated dynamically using Clebsch-Gordan coefficients.
  • The algorithm was applied to compute the ground state potential energy curve of the C2 dimer using the cc-pVQZ basis set.
  • Calculations included determining excitation energies for eight low-lying states and potential energy curves for twelve states.

Main Results:

  • The computed ground state energy for the C2 dimer achieved a high accuracy (0.01 mEh residual error), surpassing previous methods.
  • Excitation energies for eight states agreed with experimental values to within 0.06 eV.
  • Potential energy curves for twelve states were calculated with an estimated accuracy of 0.1 mEh.

Conclusions:

  • The developed method efficiently handles complex symmetry groups in electronic structure calculations.
  • The enhanced algorithm provides highly accurate energy and excitation data for molecular systems.
  • This work offers a significant advancement in computational quantum chemistry for studying molecular properties.