Accuracy of charge densities in electronic structure calculations
Moritz Gubler1, Moritz R Schäfer2,3, Jörg Behler2,3
1Department of Physics, University of Basel, Klingelbergstrasse 82, CH-4056 Basel, Switzerland.
The Journal of Chemical Physics
|March 3, 2025
Summary
Accurate charge densities are crucial for predicting chemical properties and atomic forces. Modern density functional theory (DFT) methods, especially meta-generalized gradient approximations and hybrid functionals, offer highly accurate results when using large basis sets.
Area of Science:
- Computational Chemistry
- Quantum Chemistry
- Materials Science
Background:
- Accurate charge densities are fundamental for reliable electronic structure calculations.
- Charge densities critically influence predictions of chemical properties and atomic forces via the Hellmann-Feynman theorem.
Purpose of the Study:
- To assess the accuracy of charge densities derived from various density functional theory (DFT) exchange-correlation functionals.
- To compare DFT-derived charge densities against high-accuracy coupled cluster calculations.
- To evaluate the impact of basis set size on the accuracy of DFT charge densities.
Main Methods:
- Employed multiple density functional theory (DFT) exchange-correlation functionals.
- Utilized coupled cluster calculations with single and double excitations (CCSD) as a benchmark.
- Investigated the influence of different Gaussian basis set sizes on charge density accuracy.
Main Results:
- Modern DFT functionals, particularly meta-generalized gradient approximations and hybrid functionals, yield highly accurate charge densities.
- Basis set limitations necessitate the use of the largest available Gaussian basis sets to minimize basis set errors.
- DFT charge densities show excellent agreement with coupled cluster benchmark calculations when appropriate methods and basis sets are used.
Conclusions:
- Selecting appropriate DFT functionals and large basis sets is vital for obtaining high-precision charge densities.
- Accurate charge densities are essential for applications such as generating reference data for machine-learned potentials.
- This study validates advanced DFT methods for electronic structure calculations requiring precise charge density information.
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