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Updated: May 30, 2025

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Published on: April 26, 2014
QUEST#4X: An Extension of QUEST#4 for Benchmarking Multireference Wave Function Methods.
Yangyang Song1, Ning Zhang1, Yibo Lei2
1Qingdao Institute for Theoretical and Computational Sciences and Center for Optics Research and Engineering, Shandong University, Qingdao 266237, China.
A new dataset, QUEST#4X, evaluates multireference methods for open-shell excited states. Static-dynamic-static configuration interaction (SDSCI) and perturbation theory (SDSPT2) show promising accuracy and efficiency.
Area of Science:
- Computational Chemistry
- Quantum Chemistry
- Theoretical Chemistry
Background:
- Existing datasets primarily assess single-reference methods for closed-shell systems.
- A comprehensive dataset for multireference methods on open-shell excited states is needed.
- Open-shell systems are crucial for understanding various chemical phenomena.
Purpose of the Study:
- Introduce QUEST#4X, an extended dataset for evaluating multireference methods.
- Assess the performance of static-dynamic-static configuration interaction (SDSCI) and static-dynamic-static second-order perturbation theory (SDSPT2).
- Provide benchmarks for low-lying excited states of open-shell systems.
Main Methods:
- Developed the QUEST#4X dataset, extending QUEST#4 for open-shell systems.
- Utilized iterative configuration interaction with selection and second-order perturbation correction (iCIPT2) for near-exact benchmarks.
- Calibrated SDSCI and SDSPT2 against iCIPT2 results.
Main Results:
- SDSCI demonstrates accuracy comparable to internally contracted multireference configuration interaction with singles and doubles (ic-MRCISD) at lower computational cost.
- SDSPT2 exhibits performance similar to multistate n-electron valence second-order perturbation theory (MS-NEVPT2).
- SDSPT2 offers a unified approach for single and multiple state calculations.
Conclusions:
- SDSCI and SDSPT2 are validated as accurate and efficient methods for open-shell excited states.
- The QUEST#4X dataset provides a robust platform for future method development.
- These findings establish a strong foundation for the application of SDSCI and SDSPT2.
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