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Spin-Adapted Externally Contracted Multireference Configuration Interaction Method Based on Selected Reference
Yinxuan Song1, Wei Huang1, Chungen Liu1
1School of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210023, People's Republic of China.
Selected configuration interaction (sCI) methods are improved for large systems. New methods using configuration state functions and advanced algorithms enhance efficiency and accuracy for dynamic correlation in quantum chemistry calculations.
Area of Science:
- Quantum Chemistry
- Computational Chemistry
Background:
- Selected configuration interaction (sCI) is an approximation for full configuration interaction, valuable for large active spaces.
- Dynamic correlation is crucial for quantitative results beyond large active spaces.
- Externally contracted multireference configuration interaction (EC-MRCI) using sCI references is promising but has drawbacks.
Purpose of the Study:
- To address spin contamination and low efficiency in previous sCI-EC-MRCI methods.
- To develop a more efficient and accurate computational approach for large quantum systems.
Main Methods:
- Utilized configuration state function (CSF) bases instead of Slater determinants.
- Introduced a hybrid algorithm combining tree structures for configuration space management and the graphical unitary group approach (GUGA) for matrix element calculation.
- Developed a spin-adapted version of the method.
Main Results:
- The spin-adapted CSF-based method achieved a 6.0 speed-up compared to the Slater determinant version for naphthalene.
- The improved sCI-EC-MRCI method provided quantitatively accurate results for dinuclear copper(II) compounds and Ln(III)/An(III) complexes.
- Demonstrated the ability to include dynamic correlation beyond sCI for large active spaces and basis sets.
Conclusions:
- The new CSF-based sCI-EC-MRCI method significantly improves efficiency and reduces spin contamination.
- This approach enables accurate treatment of dynamic correlation in complex systems with large active spaces and basis sets.
- The developed computational strategy is effective for challenging chemical systems in quantum chemistry.
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