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Second quantization-based symmetry-adapted perturbation theory: Generalizing exchange beyond single electron pair
Bartosz Tyrcha1, Filip Brzęk1, Piotr S Żuchowski1
1Institute of Physics, Faculty of Physics, Astronomy and Informatics, Nicolaus Copernicus University in Toruń, Grudziądzka 5/7, 87-100 Toruń, Poland.
This study introduces a generalized second-quantized permutation operator for symmetry-adapted perturbation theory (SAPT). This new method simplifies calculating exchange energies and offers an alternative to density-matrix approaches in quantum chemistry.
Area of Science:
- Quantum Chemistry
- Computational Physics
- Theoretical Chemistry
Background:
- Symmetry-Adapted Perturbation Theory (SAPT) is crucial for understanding intermolecular interactions.
- Calculating exchange energies in SAPT can be computationally intensive, especially for larger systems.
- Existing methods often rely on density-matrix formulations, which can be complex.
Purpose of the Study:
- To develop a general second-quantized form of the permutation operator for SAPT.
- To derive universal formulas for exchange energy approximations (S2n).
- To provide an alternative formalism to density-matrix methods for SAPT calculations.
Main Methods:
- Construction of a generalized second-quantized permutation operator by multiplying single-pair operators.
- Derivation of universal formulas for S2n approximations of exchange energies.
- Development of a method to sum overlap expansion series to infinity in second-quantization.
Main Results:
- The generalized permutation operator enables universal formulas for S2n exchange energy approximations.
- Expressions for S4 approximation corrections are presented and validated.
- A novel second-quantized approach to summing overlap expansions is outlined.
Conclusions:
- The new second-quantized formalism offers an efficient alternative for calculating exchange energies in SAPT.
- This approach facilitates advancements in SAPT, particularly for complex wavefunction theories.
- Integration with symbolic algebra programs can automate derivations and accelerate research.
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