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Fast localized orthonormal virtual orbitals which depend smoothly on nuclear coordinates.
Joseph E Subotnik1, Anthony D Dutoi, Martin Head-Gordon
1Department of Chemistry, University of California, Berkeley 94720, USA. subotnik@berkeley.edu
The Journal of Chemical Physics
|January 6, 2006
Summary
This study introduces a fast algorithm for creating localized orthonormal virtual orbitals. These orbitals are essential for improving computational efficiency in quantum chemistry calculations, particularly in local-correlation methods.
Area of Science:
- Computational Chemistry
- Quantum Chemistry
- Theoretical Chemistry
Background:
- Localized orthonormal virtual orbitals are crucial for accurate and efficient quantum chemical calculations.
- Existing methods for generating virtual orbitals can be computationally expensive and may lack desired localization properties.
Purpose of the Study:
- To develop a novel algorithm for computing stable, well-defined localized orthonormal virtual orbitals.
- To ensure these orbitals depend smoothly on nuclear coordinates for molecular dynamics simulations.
- To achieve computational efficiency and reduced storage requirements.
Main Methods:
- Decomposition of the atomic-orbital (AO) vector space into a minimal basis space and a hard-virtual (HV) space.
- Utilizing standard methods for valence virtual space localization.
- Constructing the HV space to be atom-centered and automatically local.
Main Results:
- The algorithm is very fast, with computational cost limited by matrix diagonalization.
- Storage requirements are quadratic in the number of electrons.
- The computed orbitals are orthonormal, stable, and depend smoothly on nuclear coordinates.
- The orbitals exhibit near-optimal localization, comparable to projected atomic orbitals.
Conclusions:
- The developed algorithm provides an efficient and accurate method for generating localized orthonormal virtual orbitals.
- This approach is expected to significantly benefit local-correlation methods in computational chemistry.
- The method offers a balance between computational speed, storage efficiency, and orbital quality.