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Accelerating Nonequilibrium Green functions simulations with embedding selfenergies by Balzer, Karsten; Schlünzen, Niclas; Ohldag, Hannes; Joost, Jan-Philip; Bonitz, Michael is a scholarly article available to read on EtoBox.

What is Accelerating Nonequilibrium Green functions simulations with embedding selfenergies about?

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 concept that has been successful in standard NEGF simulations. Here, we demonstrate how the embedding concept can be introduced into the G1--G2 scheme, allowing us to drastically accelerate NEGF embedding simulations. The approach is compatible with all advanced selfenergies that can be represented by the

Author

Balzer, Karsten; Schlünzen, Niclas; Ohldag, Hannes; Joost, Jan-Philip; Bonitz, Michael

Published

2022

Language

EN