Hybrid coupled cluster methods: combining active space coupled cluster methods with coupled cluster singles, doubles,
Zhuangfei Kou1, Jun Shen, Enhua Xu
1School of Chemistry and Chemical Engineering, Key Laboratory of Mesoscopic Chemistry of Ministry of Education, Institute of Theoretical and Computational Chemistry, Nanjing University, Nanjing 210093, People's Republic of China.
New hybrid coupled cluster (CC) methods, CCSD(T)-h and CCSD(T)q-h, accurately model molecular electronic structures with significant multireference character, improving reaction barrier and bond-breaking calculations.
Area of Science:
- Quantum Chemistry
- Computational Chemistry
- Molecular Modeling
Background:
- Coupled-cluster (CC) methods are essential for accurate electronic structure calculations.
- Existing methods like CCSD(T) may struggle with molecules exhibiting significant multireference character.
- Development of advanced CC methods is crucial for tackling complex chemical systems.
Purpose of the Study:
- To develop and implement novel hybrid coupled cluster (CC) methods.
- To address the electronic structure of molecules with significant multireference character.
- To improve the accuracy of calculating reaction barriers and bond dissociation processes.
Main Methods:
- Developed CCSD(T)-h and CCSD(T)q-h hybrid CC methods.
- Utilized both non-canonical and canonical molecular orbitals (MOs).
- Proposed a practical procedure for dividing canonical MOs into active and inactive subsets.
Main Results:
- CCSD(T)-h with canonical MOs accurately reproduces results obtained with non-canonical MOs.
- CCSD(T)-h significantly improves upon CCSD(T) for describing reaction barriers in three-atom exchange reactions.
- CCSD(T)q-h approximates CCSDTQ for bond-breaking processes in F2 and H2O.
Conclusions:
- The new hybrid CC methods offer enhanced accuracy for challenging molecular systems.
- CCSD(T)-h and CCSD(T)q-h provide reliable computational tools for electronic structure studies.
- These methods advance the capability of computational chemistry in predicting chemical reaction dynamics.
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