TL;DR
This paper introduces a cluster decomposition method for analyzing FCI wave functions, enabling chemical interpretation of strongly correlated systems and guiding the development of scalable electronic structure models.
Contribution
The authors present a novel implementation of cluster decomposition analysis applicable to FCI and adaptive sampling CI wave functions, aiding interpretation and model development for complex molecules.
Findings
Cluster amplitudes decay rapidly with increasing rank in most systems.
Connected octuple excitations are significant in chromium dimer, indicating limitations of single-reference coupled-cluster methods.
The method provides insights into the convergence and importance of excitation manifolds in strongly correlated systems.
Abstract
Approximate full configuration interaction (FCI) calculations have recently become tractable for systems of unforeseen size thanks to stochastic and adaptive approximations to the exponentially scaling FCI problem. The result of an FCI calculation is a weighted set of electronic configurations, which can also be expressed in terms of excitations from a reference configuration. The excitation amplitudes contain information on the complexity of the electronic wave function, but this information is contaminated by contributions from disconnected excitations, i.e. those excitations that are just products of independent lower-level excitations. The unwanted contributions can be removed via a cluster decomposition procedure, making it possible to examine the importance of connected excitations in complicated multireference molecules which are outside the reach of conventional algorithms. We…
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