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Solution of atomic orbitals in an interpolating wavelet basis.
Tommi Höynälänmaa1, Tapio T Rantala, Keijo Ruotsalainen
1Institute of Physics, Tampere University of Technology, P.O. Box 692, FI-33101 Tampere, Finland. tommi.hoynalanmaa@iki.fi
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|February 9, 2005
Summary
This study solves atomic structure equations using interpolating wavelets, enabling efficient computation for hydrogenic and many-electron atoms. Numerical results demonstrate convergence for key atomic parameters.
Area of Science:
- Quantum Chemistry
- Computational Physics
- Atomic Physics
Background:
- Solving the Schrödinger and Hartree-Fock equations is crucial for understanding atomic structure.
- Traditional methods can be computationally intensive, especially for many-electron systems.
- Wavelet-based approaches offer potential for improved efficiency and accuracy.
Purpose of the Study:
- To apply interpolating wavelets as basis functions for solving atomic structure equations.
- To develop and implement methods for handling operators in wavelet basis sets.
- To investigate the convergence properties of atomic parameters using this novel approach.
Main Methods:
- Utilized interpolating wavelets as basis functions for the Schrödinger and Hartree-Fock equations.
- Employed a nonstandard operator form for computations across multiple resolution levels.
- Developed an algorithm for converting matrices between nonstandard and standard operator forms.
- Derived analytic formulas for evaluating Hamiltonian and Fock operator components.
Main Results:
- Successfully solved equations for hydrogenic and several many-electron atoms (He, Li, Be, Ne, Na, Mg, Ar).
- Demonstrated the convergence of atomic parameters, such as orbital eigenvalues, with increasing resolution levels.
- Validated the efficiency and accuracy of the wavelet-based approach.
Conclusions:
- Interpolating wavelets provide an effective basis set for atomic structure calculations.
- The developed methods and algorithms facilitate accurate and efficient computations.
- This approach shows promise for advancing quantum chemistry and atomic physics simulations.