An "ultimate" coupled cluster method based entirely on $T_2$
Zachary W. Windom, Ajith Perera, Rodney J. Bartlett

TL;DR
This paper introduces a hierarchy of efficient coupled cluster methods based solely on $T_2$ that can emulate higher-rank excitations and adapt to different correlation regimes, improving accuracy while maintaining computational efficiency.
Contribution
The work develops a systematic hierarchy of $T_2$-based coupled cluster methods that incorporate higher excitations through factorization, extending accuracy up to high orders in MBPT with reduced computational cost.
Findings
Methods reduce to standard CCD for dynamic correlation.
Hierarchy improves treatment of static and non-dynamic correlations.
Cheapest methods emulate high-level CCDQ behavior at lower computational cost.
Abstract
Electronic structure methods built around double-electron excitations have a rich history in quantum chemistry. However, it seems to be the case that such methods are only suitable in particular situations and are not naturally equipped to simultaneously handle the variety of electron correlations that might be present in chemical systems. To this end, the current work seeks a computationally efficient, low-rank, "ultimate" coupled cluster method based exclusively on and its products which can effectively emulate more "complete" methods that explicitly consider higher-rank, operators. We introduce a hierarchy of methods designed to systematically account for higher, even order cluster operators - like - by invoking tenets of the factorization theorem of perturbation theory and expectation-value coupled cluster theory. It is shown that each…
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Taxonomy
TopicsAdvanced Clustering Algorithms Research · Bayesian Methods and Mixture Models
