Tensor hypercontraction for fully self-consistent imaginary-time GF2 and GWSOX methods: theory, implementation, and role of the Green's function second-order exchange for intermolecular interactions
Pavel Pokhilko, Chia-Nan Yeh, Miguel A. Morales, Dominika Zgid

TL;DR
This paper introduces tensor hypercontraction to improve the efficiency of fully self-consistent Green's function methods, enabling large-scale calculations and providing insights into their accuracy and physical behavior in intermolecular interactions.
Contribution
The authors develop an efficient THC-based algorithm for self-consistent Green's function methods, allowing large-scale calculations and analysis of the role of exchange diagrams in intermolecular interactions.
Findings
scGW slightly overbinds large systems, unlike non-self-consistent RPA
scGWSOX slightly underbinds large systems, due to exchange corrections
All methods shown to be size-extensive
Abstract
We apply tensor hypercontraction (THC) to reduce the computational scaling of expensive fully self-consistent Green's function methods. We present an efficient MPI-parallel algorithm and its implementation for evaluating the correlated second-order exchange term (SOX). This approach enabled us to conduct the largest fully self-consistent calculations with over 1100 atomic orbitals (AOs), with negligible errors attributed to THC fitting. Utilizing our THC implementation for scGW, scGF2, and scGWSOX (GW plus the SOX term iterated to achieve full Green's function self-consistency), we evaluated energies of intermolecular interactions. This approach allowed us to circumvent issues related to reference dependence and ambiguity in energy evaluation, which are common challenges in non-self-consistent calculations. We demonstrate that scGW exhibits a slight overbinding tendency for large…
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Taxonomy
TopicsPhysics of Superconductivity and Magnetism · Ocean Waves and Remote Sensing · Oceanographic and Atmospheric Processes
