Related Experiment Videos
Coupled-cluster method tailored by configuration interaction
Tomoko Kinoshita1, Osamu Hino, Rodney J Bartlett
1The Graduate University for Advanced Sciences and The Institute for Molecular Science, Myodaiji, Okazaki 444-8585, Japan.
The Journal of Chemical Physics
|October 19, 2005
Summary
This study introduces a tailored coupled cluster (TCC) method, merging configuration interaction (CI) and coupled cluster (CC) theories. TCC accurately describes molecular potential-energy surfaces (PESs) with minimal extra computational cost.
Area of Science:
- Computational chemistry
- Quantum chemistry
- Theoretical chemistry
Background:
- Accurate description of potential-energy surfaces (PESs) is crucial for understanding chemical reactions.
- Conventional coupled cluster (CC) methods struggle with systems exhibiting strong static correlation, such as bond dissociation.
Purpose of the Study:
- To develop a novel computational method that accurately describes potential-energy surfaces (PESs), especially for bond-breaking processes.
- To combine the strengths of configuration interaction (CI) and coupled cluster (CC) theories for improved accuracy and efficiency.
Main Methods:
- A tailored coupled cluster (TCC) approach is presented, integrating complete active space CI (CAS-CI) with CC theory.
- Cluster amplitudes from CAS-CI are used to incorporate nondynamic correlation into a single-reference CC framework.
- Dynamic correlation is subsequently included using standard CC procedures.
Main Results:
- The TCC method accurately describes the potential-energy surfaces (PESs) for HF, H2O, and N2 molecules, including single, double, and triple bond-breaking.
- The calculated PESs approach the accuracy of full CI methods at the dissociation limit.
- The computational overhead of TCC is negligible compared to standard CC calculations.
Conclusions:
- The TCC method provides a highly accurate and computationally efficient approach for describing molecular potential-energy surfaces.
- This method effectively handles systems with significant nondynamic correlation, such as bond dissociation processes.
- TCC is anticipated to be a generally applicable and valuable tool for various computational chemistry problems.