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Tensor Hypercontraction Form of the Perturbative Triples Energy in Coupled-Cluster Theory
Andy Jiang1, Justin M Turney2, Henry F Schaefer2
1Center for Computational Quantum Chemistry, Department of Chemistry, University of Georgia, Athens, Georgia 30602, United States.
This study introduces a reduced-scaling method for calculating perturbative triples (T) energy in coupled-cluster theory using tensor hypercontraction. The new approach significantly lowers computational cost while maintaining high accuracy compared to traditional methods.
Area of Science:
- Computational Chemistry
- Quantum Chemistry
- Theoretical Chemistry
Background:
- Coupled-cluster theory is a powerful quantum chemical method for accurate electronic structure calculations.
- The perturbative triples (T) correction is crucial for high accuracy but computationally expensive, scaling as O(N^7).
- Reduced-scaling methods are needed to make accurate coupled-cluster calculations feasible for larger systems.
Purpose of the Study:
- To develop and present working equations for a reduced-scaling method to evaluate the perturbative triples (T) energy.
- To reduce the computational scaling of the (T) energy calculation.
- To provide implementation details for future research and software development.
Main Methods:
- Utilizing tensor hypercontraction (THC) of the triples amplitudes (t).
- Developing working equations for the reduced-scaling (T) energy evaluation.
- Analyzing the convergence properties and error growth with respect to system size.
Main Results:
- The method reduces the scaling of the (T) energy from O(N^7) to O(N^6).
- Achieved sub-millihartree (mEh) differences for absolute energies and sub-0.1 kcal/mol for relative energies compared to standard CCSD(T).
- Demonstrated convergence to the exact CCSD(T) energy with increasing rank or eigenvalue tolerance.
Conclusions:
- The proposed THC-based reduced-scaling method offers a computationally efficient alternative for calculating the perturbative triples energy.
- The method maintains high accuracy, making it suitable for larger molecular systems.
- This work lays the foundation for practical implementation in quantum chemistry software.
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