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Updated: Dec 25, 2025

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
Published on: April 8, 2020
Extended separated-pair approximation for transition metal potential energy curves
Shuhang J Li1, Laura Gagliardi1, Donald G Truhlar1
1Department of Chemistry, Chemical Theory Center, and Minnesota Supercomputing Institute, University of Minnesota, Minneapolis, Minnesota 55455, USA.
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.
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.
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