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A new method, eXcited Constrained Density Functional Theory (XCDFT), accurately calculates molecular excited states. XCDFT offers a robust alternative to existing methods, handling complex systems without common computational issues.

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Area of Science:

  • Computational Chemistry
  • Quantum Chemistry
  • Theoretical Chemistry

Background:

  • Calculating low-lying excited states of molecular systems is crucial for understanding photochemistry and photophysics.
  • Existing methods like time-dependent Density Functional Theory (TDDFT) and delta Self-Consistent Field (ΔSCF) have limitations, including variational collapse and computational cost.

Purpose of the Study:

  • To introduce and validate a novel variational method, eXcited Constrained Density Functional Theory (XCDFT), for computing excited states.
  • To assess the accuracy, applicability, and efficiency of XCDFT compared to established methods.

Main Methods:

  • Developed XCDFT based on Constrained Density Functional Theory (CDFT).
  • Excited states are calculated by constraining a specific electron population (Nc = 1.0) in virtual orbitals.
  • Tested XCDFT on 15 molecules for excitation energies, challenging processes (conical intersections), and condensed-phase systems (solvatochromic shifts).

Main Results:

  • XCDFT demonstrates accuracy comparable to TDDFT for excitation energies.
  • The method avoids variational collapse issues inherent in the ΔSCF approach.
  • XCDFT successfully reproduces energy surfaces with conical intersections and solvatochromic shifts, outperforming TDDFT in some cases.
  • XCDFT shows competitive performance in terms of speed, convergence, and accuracy.

Conclusions:

  • XCDFT is a robust and accurate variational method for calculating excited states in molecular systems.
  • It offers a compelling alternative to TDDFT and ΔSCF, particularly for systems with complex electronic structures or in condensed phases.
  • The method's efficiency and reliability make it suitable for a wide range of computational chemistry applications.