Random phase approximation-based local natural orbital coupled cluster theory
Ruiheng Song, Xiliang Gong, Aamy Bakry, Hong-Zhou Ye
TL;DR
The paper replaces MP2 with random phase approximation (RPA) as the low-level theory in local natural orbital CC (LNO-CC) embedding, using direct ring CCD (drCCD) amplitudes and an external correction scheme. RPA-based LNO-CCSD and LNO-CCSD(T) reproduce MP2-based results for systems with sizable gaps while delivering notably faster convergence toward the canonical CC limit for metallic systems, particularly as the thermodynamic limit is approached; applying SOSEX as the external correction often yields chemical accuracy with far fewer active LNOs. Benchmark results on coronene dimer, anthracene crystal, and bulk metals (Li and Cu) show that RPA-derived LNOs are competitive in short-range correlation, and that composite corrections based on RPA and SOSEX outperform MP2-based corrections in many metallic cases. The study highlights the critical influence of the chosen low-level theory on fragment-embedding performance and positions RPA as a compelling alternative to MP2 for efficient, accurate high-level calculations in complex molecular and condensed-phase systems.
Abstract
Practical applications of fragment embedding and closely related local correlation methods critically depend on a judicious choice of a low-level theory to define the local embedding subspace and to capture long-range electrostatic and correlation effects outside the embedding region. Second-order Møller-Plesset perturbation theory (MP2) is by far the most widely used correlated low-level theory; however, its applicability becomes questionable in systems where MP2 is known to fail either quantitatively or qualitatively. In this work, we present the random phase approximation (RPA) as a promising alternative low-level theory to MP2 within the local natural orbital-based coupled-cluster (LNO-CC) framework. We demonstrate that RPA-based LNO-CC closely matches the performance of its MP2-based counterpart for systems with sizable energy gaps, while delivering significantly faster convergence toward the canonical coupled-cluster limit for metallic systems, particularly as the thermodynamic limit is approached. These results highlight the critical role of the low-level theory in fragment embedding and local correlation methods and identify RPA as a compelling alternative to the commonly used MP2.
