Density Functional and Basis Set Dependence of Hydrated Ln(III) Properties
1Department of Chemistry, Washington State University, P.O. Box 644630, Pullman, Washington 99164.
Journal of Chemical Theory and Computation
|December 2, 2015
Summary
Computational methods for lanthanide complexes were benchmarked to evaluate accuracy. Results show that lanthanide contraction is unreliable for assessing computational method quality due to error cancellation.
Area of Science:
- Computational chemistry
- Quantum chemistry
- Lanthanide chemistry
Background:
- Accurate theoretical descriptions of lanthanide (Ln) complexes are crucial for understanding their properties.
- Various computational methods and basis sets are available, but their performance for lanthanides needs rigorous evaluation.
Purpose of the Study:
- To benchmark different quantum chemical methods and basis sets for lanthanide complexes.
- To assess the reliability of common evaluation metrics like lanthanide contraction.
- To propose improvements for describing lanthanide electronic structure.
Main Methods:
- Benchmark studies of La(H2O)9(3+) and Lu(H2O)9(3+) complexes.
- Application of local density approximation, generalized gradient approximation (GGA), meta-GGA, and hybrid functionals.
- Utilized small- and large-core relativistic effective core potentials and associated basis sets.
- Analysis of basis set dependence and natural population analysis (NPA).
Main Results:
- The lanthanide contraction is an inadequate metric for assessing the quality of computational methods due to error cancellation.
- Basis set dependence was significant, highlighting the importance of specific functions for describing lanthanide atomic orbitals.
- An alternative valence space partitioning, including 6s6p5d4f natural atomic orbitals, was proposed for improved electrostatic description.
Conclusions:
- Standard computational methods require careful selection of basis sets for accurate lanthanide property prediction.
- Lanthanide contraction alone is insufficient for validating computational approaches.
- The proposed valence space partitioning offers a more reliable way to analyze electrostatic properties in lanthanide systems.
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