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Density functionals for inorganometallic and organometallic chemistry
Nathan E Schultz1, Yan Zhao, Donald G Truhlar
1Department of Chemistry and Supercomputing Institute, University of Minnesota, 207 Pleasant Street Southeast, Minneapolis, Minnesota 55455-0431, USA.
The Journal of Physical Chemistry. A
|December 8, 2005
Summary
This study introduces new databases for metal-ligand bond energies and lengths, assessing 57 density functionals. Scaled correlation energy functionals show improved accuracy for metal bonds, with G96LYP being the most effective.
Area of Science:
- Computational Chemistry
- Materials Science
- Quantum Chemistry
Background:
- Accurate prediction of metal-ligand bond energies is crucial for understanding chemical reactions and designing new materials.
- Existing density functional theory (DFT) methods often struggle with the accurate description of metal-metal and metal-ligand bonds.
Purpose of the Study:
- To create comprehensive databases of metal-ligand bond dissociation energies, bond lengths, and atomic ionization potentials.
- To evaluate the performance of a wide range of density functionals, including novel scaled correlation energy functionals, for metal-related properties.
- To identify the most accurate functionals for describing metal-metal and metal-ligand interactions.
Main Methods:
- Compilation of diverse and reliable data for 21 metal-ligand bond energies, metal-ligand bond lengths, and atomic ionization potentials.
- Systematic assessment of 57 density functionals, including Local Spin Density Approximation (LSDA), Generalized Gradient Approximation (GGA), meta-GGA, and hybrid variants.
- Investigation of functionals with scaled or no gradient-corrected correlation energy for improved accuracy in metal bonding.
Main Results:
- Functionals with scaled correlation energy demonstrated superior accuracy for metal-metal and metal-ligand bonds compared to existing methods.
- The G96LYP functional was identified as the most accurate, followed by MPWLYP1M, XLYP, BLYP, and MOHLYP.
- Four of the top five functionals contain no or minimal (5%) Hartree-Fock exchange, suggesting its limited utility for these systems.
Conclusions:
- The developed databases provide valuable benchmarks for assessing DFT functionals.
- Scaled correlation energy functionals represent a significant advancement for accurately modeling metal bonding.
- The B1 diagnostic was introduced as a tool to assess the multireference character of chemical bonds.