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Updated: Jun 12, 2025

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
Published on: April 8, 2020
Exploring Ground and Excited States Via Single Reference Coupled-Cluster Theory and Algebraic Geometry
Svala Sverrisdóttir1, Fabian M Faulstich2
1Department of Mathematics, The University of California, Berkeley, California 94720, United States.
Computational chemists explored coupled cluster (CC) equations, finding multiple solutions accurately describe excited states. This research on four-electron systems advances quantum chemistry root structure understanding.
Area of Science:
- Computational quantum chemistry
- Algebraic geometry
- Theoretical chemistry
Background:
- Coupled cluster (CC) equations are fundamental in computational quantum chemistry.
- Understanding the root structure of CC equations is crucial for accurate chemical predictions.
- Previous studies have not fully explored the complete solution set of CC equations.
Purpose of the Study:
- To investigate the intricate root structures of coupled cluster (CCD and CCSD) equations.
- To compare computed CC roots against theoretical upper bounds for accuracy and efficiency.
- To assess the capability of single-reference CC methods in approximating excited state energies.
Main Methods:
- Utilized algebraic geometry techniques, including monodromy and parametric homotopy continuation.
- Calculated the full solution set of CC equations.
- Focused on dissociation processes of four-electron systems: (H2)2, H4, and lithium hydride.
Main Results:
- Computed CC roots were compared against established theoretical upper bounds.
- Multiple CC roots were found to accurately describe excited state energies.
- For systems like lithium hydride, CC methods approximated both excited state energies and the states themselves with high accuracy.
Conclusions:
- The study provides significant insights into the root structure of CC equations.
- CC methods demonstrate a strong capability in describing excited states accurately.
- This work enhances the understanding and application of CC theory in computational chemistry.
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