Accelerating Nonequilibrium Green functions simulations with embedding selfenergies
Karsten Balzer, Niclas Schl\"unzen, Hannes Ohldag, Jan-Philip Joost,, and Michael Bonitz

TL;DR
This paper introduces an embedding selfenergy into the G1--G2 scheme for nonequilibrium Green functions, significantly reducing computational effort for large systems while maintaining linear time scaling.
Contribution
It extends the G1--G2 scheme by incorporating embedding selfenergies, enabling efficient simulations of large systems coupled to baths or contacts.
Findings
Achieved drastic acceleration of NEGF embedding simulations.
Retained memory-less structure and linear time scaling.
Validated approach with charge transfer in Hubbard nanocluster.
Abstract
Real-time nonequilibrium Green functions (NEGF) have been very successful to simulate the dynamics of correlated many-particle systems far from equilibrium. However, NEGF simulations are computationally expensive since the effort scales cubically with the simulation duration. Recently we have introduced the G1--G2 scheme that allows for a dramatic reduction to time-linear scaling [Schl\"unzen, Phys. Rev. Lett. 124, 076601 (2020); Joost et al., Phys. Rev. B 101, 245101 (2020)]. Here we tackle another problem: the rapid growth of the computational effort with the system size. In many situations where the system of interest is coupled to a bath, to electric contacts or similar macroscopic systems for which a microscopic resolution of the electronic properties is not necessary, efficient simplifications are possible. This is achieved by the introduction of an embedding selfenergy -- a…
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Taxonomy
TopicsSpectroscopy and Quantum Chemical Studies · Quantum many-body systems · Advanced Thermodynamics and Statistical Mechanics
