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Asymmetric Density Fitting with Modified Cholesky Decomposition Applied to Second-Order Electron Propagator
Juan Felipe Huan Lew-Yee1, Roberto Flores-Moreno2, José Luis Morales3
1Departamento de Fı́sica y Quı́mica Teórica, Facultad de Quı́mica, Universidad Nacional Autónoma de México, Mexico City 04510, Mexico.
Efficiently compute molecular orbital electron repulsion integrals (MO-ERIs) using asymmetric density fitting and modified Cholesky decomposition. This method accelerates second-order electron propagator calculations, overcoming computational bottlenecks for large molecules.
Area of Science:
- Computational Chemistry
- Quantum Chemistry
- Theoretical Chemistry
Background:
- Calculating molecular orbital electron repulsion integrals (MO-ERIs) from atomic orbital ERIs (AO-ERIs) is computationally intensive.
- This integral transformation is a significant bottleneck in second-order electron propagator calculations, especially for single-orbital studies.
Purpose of the Study:
- To develop and implement efficient algorithms for computing MO-ERIs.
- To address the computational bottlenecks in second-order electron propagator methods.
Main Methods:
- Combined asymmetric density fitting with modified Cholesky decomposition for efficient MO-ERI generation.
- Utilized partial contractions of three-center AO-ERIs, storing contractions in RAM instead of full AO-ERIs.
- Developed two implementations: an in-core version and a semidirect version to handle memory limitations.
Main Results:
- The proposed methods are fast and numerically stable.
- Modified Cholesky factorization effectively controlled ill-conditioning issues in density fitting.
- The in-core implementation is competitive for medium to large basis sets; the semidirect version shows memory independence.
Conclusions:
- The developed algorithms provide an efficient and stable approach for MO-ERI computation.
- These methods significantly improve the performance of second-order electron propagator calculations.
- The approach is applicable to relatively large molecular systems.
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