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The atomic orbitals of the topological atom
Eloy Ramos-Cordoba1, Pedro Salvador, István Mayer
1Institute of Computational Chemistry and Catalysis and Department of Chemistry, University of Girona, 17071 Girona, Spain.
This study introduces effective atomic orbitals derived from Quantum Theory of Atoms in Molecules (QTAIM) calculations. These orbitals provide an accurate and reduced basis set for analyzing molecular orbitals and atomic populations.
Area of Science:
- Quantum Chemistry
- Computational Chemistry
- Theoretical Chemistry
Background:
- Traditional atomic orbital basis sets can be computationally expensive and redundant.
- Quantum Theory of Atoms in Molecules (QTAIM) provides a rigorous partitioning of molecular properties to atoms.
- Developing efficient and accurate atomic orbital representations is crucial for computational chemistry.
Purpose of the Study:
- To develop a method for generating effective atomic orbitals (EAOs) from general wavefunctions.
- To demonstrate that EAOs can accurately represent molecular orbitals and QTAIM atomic populations.
- To explore the reduction of basis set size while maintaining high accuracy.
Main Methods:
- Implementation of EAOs within the framework of Bader's atoms in molecules theory.
- Utilizing singular value decomposition (SVD) for basis set reduction.
- Comparison of EAO-based Mulliken population analysis with QTAIM atomic populations.
Main Results:
- A general formalism for deriving orthonormalized numerical atomic orbitals with QTAIM occupation numbers was established.
- A limited set of EAOs with significant occupation numbers accurately represents core and valence atomic shells.
- Molecular orbitals can be exactly expressed as linear combinations of EAOs, and Mulliken analysis on this basis reproduces QTAIM populations.
Conclusions:
- Effective atomic orbitals offer a compact and accurate representation of atomic and molecular orbitals.
- This method provides a robust way to obtain physically meaningful atomic basis sets from any quantum chemical calculation.
- Basis set reduction using EAOs and SVD is highly effective, paving the way for more efficient computational chemistry studies.
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