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Compressed-State Multistate Pair-Density Functional Theory.

Jie J Bao1, Chen Zhou1, Donald G Truhlar1

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|November 3, 2020
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Summary
This summary is machine-generated.

Compressed-state multistate PDFT (CMS-PDFT) improves excited-state calculations by addressing issues with conical intersections. This new method offers the efficiency of XMS-PDFT with the accuracy of VMS-PDFT.

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Area of Science:

  • Quantum Chemistry
  • Computational Chemistry
  • Theoretical Chemistry

Background:

  • Multiconfiguration pair-density functional theory (MC-PDFT) is a multireference method for calculating excited states.
  • MC-PDFT exhibits incorrect potential energy surface topology at conical intersections due to its final computational step.
  • Previous methods like VMS-PDFT and XMS-PDFT aimed to correct this by diagonalizing an effective Hamiltonian matrix.

Purpose of the Study:

  • To develop a new computational method that is both efficient and accurate for calculating excited states, specifically addressing the topological errors at conical intersections.
  • To overcome the limitations of existing methods, such as the computational cost of VMS-PDFT and the accuracy issues of XMS-PDFT.

Main Methods:

  • A novel method, compressed-state multistate PDFT (CMS-PDFT), was developed.
  • CMS-PDFT involves diagonalizing a model-space effective Hamiltonian matrix.
  • The method optimizes intermediate states by maximizing the trace of the classical Coulomb energy, leading to compressed electron densities.

Main Results:

  • CMS-PDFT demonstrates efficiency comparable to XMS-PDFT.
  • CMS-PDFT achieves accuracy on par with VMS-PDFT.
  • The new CMS-PDFT method shows robust performance, even in cases where XMS-PDFT fails.

Conclusions:

  • CMS-PDFT offers a significant advancement in calculating excited states, providing a robust and accurate approach.
  • The method effectively resolves the topological inaccuracies of MC-PDFT at conical intersections.
  • CMS-PDFT presents a computationally viable alternative for complex quantum chemistry problems.