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Updated: May 16, 2026

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
Published on: April 8, 2020
Relaxed active space: fixing tailored-CC with high order coupled cluster. I
Anna Melnichuk1, Rodney J Bartlett
1Quantum Theory Project, Department of Chemistry and Physics, University of Florida, Gainesville, Florida 32611, USA. melnichu@qtp.ufl.edu
This study presents an automated method for partitioning orbital spaces in quantum chemistry calculations. It enables accurate multi-reference coupled cluster calculations at a reduced computational cost, achieving experimental accuracy for bond breaking.
Area of Science:
- Quantum Chemistry
- Computational Chemistry
- Theoretical Chemistry
Background:
- Single-reference coupled cluster (SR-CC) methods struggle with multi-reference (MR) problems like bond breaking.
- Higher-order clusters (CCSDT, CCSDTQ) improve accuracy but are computationally expensive.
- Active space partitioning is necessary for large systems but can lead to inaccuracies.
Purpose of the Study:
- To develop an automated scheme for partitioning orbital spaces in coupled cluster calculations.
- To address the shortcomings of existing tailored-CC methods, specifically the neglect of inter-space coupling.
- To enable accurate and cost-effective treatment of strongly multi-reference systems.
Main Methods:
- Partitioning the orbital space into an active and external space based on statistical criteria.
- Treating the extended active space with singles, doubles, triples, and quadruples (CCSDTQ) and the external space with singles and doubles (CCSD).
- Automated determination of the extended space to eliminate user judgment and improve accuracy.
Main Results:
- The automated scheme successfully treats MR problems with SR-CC methods.
- Achieved experimental accuracy for dissociation energies of HF and F2 at a fraction of full CCSDT cost.
- The method overcomes nonparallelism error (NPE) inherent in previous tailored-CC approaches.
Conclusions:
- The developed automated extended space partitioning method offers a computationally efficient route to accurate MR calculations.
- This approach is suitable for strongly multi-reference systems and can be extended to higher-order clusters.
- It significantly reduces the computational burden compared to full high-order coupled cluster calculations.
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