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Multiconfiguration pair-density functional theory (MC-PDFT) offers an accurate and affordable computational method for transition-metal chemistry, outperforming CASPT2 and KS-DFT. Specialized active space approximations like ESP-PDFT reduce costs while maintaining high accuracy.

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Area of Science:

  • Computational Chemistry
  • Quantum Chemistry
  • Materials Science

Background:

  • Accurate theoretical prediction of bond dissociation energies and potential energy curves is crucial for transition-metal chemistry.
  • Developing computationally efficient yet accurate methods remains a significant challenge in this field.

Purpose of the Study:

  • To investigate the performance of multiconfiguration pair-density functional theory (MC-PDFT) for transition-metal diatomics.
  • To evaluate MC-PDFT using wave functions from complete-active-space (CAS) and generalized active space (GAS) self-consistent-field (SCF) methods.
  • To compare MC-PDFT with established methods like CAS second-order perturbation theory (CASPT2) and Kohn-Sham DFT (KS-DFT).

Main Methods:

  • Employed six systematic active space selection schemes, including correlated participating orbitals (CPO) and novel separated-pair (SP) and extended separate pairs (ESP) approximations.
  • Applied CAS-SCF and GAS-SCF frameworks to calculate wave functions for MC-PDFT.
  • Tested methods on TiC, TiSi, and WCl diatomics, comparing predicted bond energies and potential curves with experimental data.

Main Results:

  • MC-PDFT demonstrated superior performance compared to both CASPT2 and KS-DFT across the studied transition-metal diatomics.
  • The SP and ESP approximations significantly reduced computational costs and smoothed potential energy curves, particularly ESP-PDFT.
  • ESP-PDFT achieved accuracy comparable to the more computationally intensive CAS-PDFT.

Conclusions:

  • MC-PDFT provides a robust and accurate computational approach for transition-metal chemistry.
  • The ESP approximation offers a computationally efficient strategy for active space selection within MC-PDFT.
  • This work highlights the potential of MC-PDFT with optimized active spaces for reliable theoretical predictions in transition-metal systems.