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A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference
Published on: September 5, 2019
Explicitly correlated local second-order perturbation theory with a frozen geminal correlation factor
Frederick R Manby1, Hans-Joachim Werner, Thomas B Adler
1School of Chemistry, University of Bristol, Cantocks Close, Bristol BS8 1TS, United Kingdom. fred.manby@bris.ac.uk
New localized explicitly correlated methods (MP2-R122*A(loc) and LMP2-R122*A(loc)) rapidly achieve basis set convergence for correlation energies. These computational chemistry techniques offer accurate results for larger molecules.
Area of Science:
- Computational Chemistry
- Quantum Chemistry
- Theoretical Chemistry
Background:
- Traditional correlated methods face challenges with slow basis set convergence and computational cost.
- Explicitly correlated methods (e.g., R12 methods) incorporate interelectronic distances to accelerate convergence.
- Localized approximations and density fitting are crucial for reducing computational scaling in quantum chemistry.
Purpose of the Study:
- To modify and improve existing localized explicitly correlated methods (MP2-R122*A(loc) and LMP2-R122*A(loc)).
- To enhance the efficiency and accuracy of calculating second-order correlation energies.
- To enable the application of these methods to larger molecular systems.
Main Methods:
- Modification of MP2-R122*A(loc) and LMP2-R122*A(loc) using a short-range correlation factor.
- Expansion of the correlation factor using a fixed linear combination of Gaussian geminals.
- Implementation of density fitting for integral evaluation and local approximations for improved computational scaling.
Main Results:
- The modified MP2-F122*A(loc) method demonstrates very rapid convergence of correlation energies with respect to basis set size.
- Correlation energies computed with the aug-cc-pVTZ basis set are within 0.5% of the basis set limit for 21 small molecules.
- The short-range correlation factor improves resolution of the identity convergence and mitigates long-range errors in density fitting.
Conclusions:
- The developed DF-LMP2-F122*A(loc) method significantly accelerates the convergence of correlated calculations.
- This approach provides accurate correlation energies with smaller basis sets, reducing computational cost.
- The method is successfully applied to molecules up to 49 atoms, demonstrating its scalability and utility for larger systems.
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