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Updated: Jul 12, 2026

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
Published on: April 8, 2020
Alternative linear-scaling methodology for the second-order Møller-Plesset perturbation calculation based on the
Masato Kobayashi1, Yutaka Imamura, Hiromi Nakai
1Department of Chemistry and Biochemistry, School of Advanced Science and Engineering, Waseda University, Tokyo 169-8555, Japan.
A new divide-and-conquer (DC) method accurately estimates correlation energy using subsystem calculations. This approach, termed DC-MP2, significantly reduces computational cost compared to traditional methods.
Area of Science:
- Computational chemistry
- Quantum chemistry
- Electronic structure theory
Background:
- The divide-and-conquer (DC) method offers a way to compute the correlation energy of large systems by dividing them into smaller subsystems.
- Accurate calculation of correlation energy is crucial for predicting molecular properties.
Purpose of the Study:
- To present a novel scheme for approximating correlation energy within the divide-and-conquer (DC) framework.
- To apply and assess this scheme to second-order Moller-Plesset perturbation theory (MP2).
Main Methods:
- Developed a new scheme for partitioning correlation energy among subsystems.
- Applied the scheme to create a DC version of MP2 (DC-MP2).
- Calculated subsystem contributions using subsystem orbitals.
Main Results:
- The DC-MP2 method provides reliable correlation energy values.
- This method achieves significant reductions in computational cost compared to conventional MP2 calculations.
- Numerical assessments confirm the accuracy and efficiency of the proposed scheme.
Conclusions:
- The presented DC scheme is an effective approach for approximating correlation energy.
- DC-MP2 offers a computationally efficient alternative for calculating correlation energy in large systems.
- This method holds promise for advancing large-scale electronic structure calculations.
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