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Published on: May 27, 2020
Accurate Gaussian basis sets for atomic and molecular calculations obtained from the generator coordinate method with
Ricardo Celeste1, Milena P Maringolo2, Moacyr Comar3
1Departamento de Química, Centro de Ciências Exatas e de Tecnologia, Universidade Estadual do Centro-Oeste, Guarapuava, PR, Brazil.
New Gaussian basis sets derived from the generator coordinate Hartree-Fock (GCHF) method offer accurate atomic and molecular calculations. These compact sets significantly reduce computational time for B3LYP functional applications.
Area of Science:
- Computational Chemistry
- Quantum Chemistry
- Theoretical Chemistry
Background:
- Accurate Gaussian basis sets are crucial for reliable molecular electronic structure calculations.
- Existing methods can be computationally intensive, limiting the scope of complex calculations.
Purpose of the Study:
- To develop accurate and compact Gaussian basis sets for atoms H to Ba.
- To assess the efficiency and accuracy of these basis sets in molecular calculations using the B3LYP functional.
Main Methods:
- Employed the generator coordinate Hartree-Fock (GCHF) method with polynomial expansion for discretizing Griffin-Wheeler-Hartree-Fock (GWHF) equations.
- Utilized a non-equally distributed mesh for discretization, differing from the original GCHF approach.
- Performed test calculations on diatomic molecules (N2, F2, CO, NO, HF, HCN) using the B3LYP functional.
Main Results:
- Generated accurate Gaussian basis sets with maximum error of 0.788 mHartree for atomic Hartree-Fock energies (Indium).
- Achieved total energies comparable to cc-pV5Z basis sets (1.0–2.4 mHartree difference) using fewer polarization functions.
- Demonstrated significant reduction in computational time compared to B3LYP/cc-pV5Z calculations.
Conclusions:
- The GCHF method with polynomial expansion effectively generates compact and accurate Gaussian basis sets.
- These novel basis sets offer a computationally efficient alternative for quantum chemical calculations.
- The developed basis sets show excellent agreement with established methods and experimental data.
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