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Updated: Jun 16, 2026

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Published on: April 8, 2020
New implementations of MRCI in semiempirical frameworks
Yibo Lei1, Bingbing Suo, Yusheng Dou
1Key Laboratory of Synthetic and Natural Functional Molecule Chemistry of Ministry of Education, The College of Chemistry and Materials Science, Shaanxi Key Laboratory of Physico-Inorganic Chemistry, Northwest University, Xi'an 710069, People's Republic of China.
A new computational method, multireference configuration interaction with single and double excitations (MRCISD), has been developed for efficient quantum chemistry calculations. This approach enhances speed and reduces memory needs for complex molecular modeling.
Area of Science:
- Quantum Chemistry
- Computational Chemistry
- Theoretical Chemistry
Background:
- Accurate electronic structure calculations are crucial for understanding molecular properties.
- Existing methods for multireference configuration interaction (MRCI) can be computationally expensive.
- Efficient implementation of MRCI is needed for larger and more complex systems.
Purpose of the Study:
- To implement multireference configuration interaction with single and double excitations (MRCISD) within a semiempirical framework.
- To develop analytic configuration interaction (CI) gradients for the implemented MRCI method.
- To improve the efficiency and reduce storage requirements of MRCI calculations.
Main Methods:
- Implementation of MRCISD using hole-particle symmetry.
- Development of a mixed driven model for computing coupling coefficients.
- Integration into a semiempirical computational framework.
Main Results:
- Successful implementation of MRCISD and its analytic CI gradients.
- Demonstrated higher efficiency in calculations compared to previous methods.
- Achieved reduced storage requirements for MRCI calculations.
Conclusions:
- The new semiempirical MRCI code offers a more efficient approach to electronic structure calculations.
- This method facilitates more complex molecular modeling with reduced computational cost.
- The implementation provides a valuable tool for theoretical and computational chemistry research.
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