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Updated: Mar 18, 2026

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Published on: April 8, 2020
The Delicate Balance of Static and Dynamic Electron Correlation
Christopher J Stein1, Vera von Burg1, Markus Reiher1
1ETH Zürich , Laboratorium für Physikalische Chemie, Vladimir-Prelog-Weg 2, Zürich, 8093, Switzerland.
Accurate electronic structure calculations for 3d-metallocenes are crucial. Information entropy measures enable complete active space calculations to approach coupled cluster accuracy for dissociation energies.
Area of Science:
- Quantum Chemistry
- Computational Chemistry
- Electronic Structure Theory
Background:
- Multi-configurational methods offer qualitative electronic structure descriptions but require multi-reference perturbation theory for quantitative accuracy.
- Accuracy is limited by active space size and perturbation theory specifics, while single-reference methods excel for equilibrium structures.
Purpose of the Study:
- To calculate the heterolytic double dissociation energy of four 3d-metallocenes.
- To compare complete active space self-consistent field (CASSCF) results with highly accurate coupled cluster (CC) data.
- To investigate the efficacy of information entropy measures for active space selection in CASSCF.
Main Methods:
- Complete Active Space Self-Consistent Field (CASSCF) method.
- Coupled Cluster (CC) calculations for benchmark data.
- Information entropy measures for active space selection.
Main Results:
- CASSCF calculations with entropy-based active space selection achieved accuracy comparable to coupled cluster methods.
- Coupled cluster data were well within experimental error bars.
- A subtle balance between static and dynamic electron correlation was observed, highlighting the need for algorithmic active space selection.
Conclusions:
- Entropy-based active space selection is a promising approach for accurate electronic structure calculations.
- Accurate calculation of dissociation energies in 3d-metallocenes requires careful consideration of electron correlation effects.
- Algorithmic active space selection methods are essential for reliable computational chemistry results.
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