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Tensor Hypercontraction Second-Order Møller-Plesset Perturbation Theory: Grid Optimization and Reaction Energies
Sara I L Kokkila Schumacher1,2, Edward G Hohenstein1,2,3, Robert M Parrish4
1Department of Chemistry and the PULSE Institute, Stanford University , Stanford, California 94305, United States.
We developed a new algorithm for the tensor hypercontraction (THC) method for MP2 calculations. This approach reduces memory and prefactor costs while maintaining quartic scaling and accuracy for electronic structure computations.
Area of Science:
- Computational chemistry
- Quantum chemistry
- Electronic structure theory
Background:
- The tensor hypercontraction (THC) method has been introduced for electronic structure calculations.
- MP2 (Møller–Plesset perturbation theory) is a common method for approximating electron correlation.
Purpose of the Study:
- To present an improved algorithm for THC-MP2 calculations.
- To reduce memory requirements and prefactor costs of THC-MP2.
- To optimize quadrature grids for grid-based least-squares (LS) THC-MP2.
Main Methods:
- Developed a new algorithm for THC-MP2.
- Implemented a procedure to optimize quadrature grids for LS-THC-MP2.
- Generated optimized grids for first-row atoms using <100 points/atom.
- Benchmarked LS-THC-MP2 with optimized grids on conformational energies and reaction barriers.
Main Results:
- The new THC-MP2 algorithm lowers memory and prefactor requirements.
- Optimized quadrature grids incur negligible errors in computed energies.
- LS-THC-MP2 demonstrates negligible errors in absolute and relative energies.
- The method is applicable to larger basis sets like cc-pVDZ and cc-pVTZ.
Conclusions:
- The optimized LS-THC-MP2 method offers a computationally efficient approach for electronic structure calculations.
- The THC methodology is accurate and scalable for various chemical systems and basis sets.
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