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Scaled opposite-spin second order Møller-Plesset correlation energy: an economical electronic structure method
Yousung Jung1, Rohini C Lochan, Anthony D Dutoi
1Department of Chemistry, University of California, Berkeley, California 94720, USA.
A simplified approach scales the Møller-Plesset energy (MP2) to improve electron correlation calculations. This scaled opposite-spin MP2 (SOS-MP2) method offers better accuracy and computational efficiency for quantum chemistry.
Area of Science:
- Quantum Chemistry
- Computational Chemistry
- Theoretical Chemistry
Background:
- Electron correlation energy is crucial for accurate molecular property predictions.
- Conventional Møller-Plesset perturbation theory (MP2) is computationally intensive.
- Developing efficient methods for electron correlation is a key challenge.
Purpose of the Study:
- To introduce a simplified and computationally efficient method for calculating electron correlation energy.
- To evaluate the accuracy of the proposed method against conventional MP2.
- To present an algorithm for the efficient computation of the scaled opposite-spin MP2 energy.
Main Methods:
- Evaluating only the alpha-beta component of the second-order Møller-Plesset energy.
- Scaling the calculated energy by an empirical factor of 1.3 (SOS-MP2).
- Developing a fourth-order algorithm using auxiliary basis expansions and a Laplace approach.
Main Results:
- The SOS-MP2 method provides statistically improved results for relative energies and derivative properties compared to conventional MP2.
- SOS-MP2 avoids the fifth-order computational steps of MP2.
- The method is computationally efficient, even without exploiting spatial locality.
Conclusions:
- The scaled opposite-spin MP2 (SOS-MP2) method is a computationally efficient and accurate approach for treating electron correlation energy.
- SOS-MP2 offers a significant improvement over traditional MP2 methods in terms of both accuracy and computational cost.
- This simplified approach has the potential to advance quantum chemical calculations.
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