English

Accelerating Nonequilibrium Green functions simulations: the G1-G2 scheme and beyond

Strongly Correlated Electrons 2026-04-02 v2 Plasma Physics

Abstract

The theory of Nonequilibrium Green functions (NEGF) has seen a rapid development over the recent three decades. Applications include diverse correlated many-body systems in and out of equilibrium. Very good agreement with experiments and available exact theoretical results could be demonstrated if the proper selfenergy approximations were used. However, full two-time NEGF simulations are computationally costly, as they suffer from a cubic scaling of the computation time with the simulation duration. Recently we have introduced the G1-G2 scheme that exactly reformulates the Kadanoff-Baym ansatz with Hartree-Fock propagators (HF-GKBA) into time-local equations, allowing for a dramatic reduction of the scaling to time-linear scaling [Schluenzen et al., Phys. Rev. Lett. \textbf{124}, 076601 (2020)]. Remarkably, this scaling is achieved quickly, and also for high-level selfenergies, including the nonequilibrium GWGW and TT-matrix approximations [Joost et al., Phys. Rev. B \textbf{101}, 245101 (2020)]. Even the dynamically screened ladder approximation is now feasible [Joost et al., Phys. Rev. B \textbf{105}, 165155 (2022)], and also applications to electron-boson systems were demonstrated. Here we present an overview on recent results that were achieved with the G1--G2 scheme. We discuss problems and open questions and present further ideas how to overcome the current limitations of the scheme.We illustrate the G1--G2 scheme by presenting applying it to the excitation dynamics of Hubbard clusters, to optical excitation of graphene, and to charge transfer during stopping of ions by correlated materials.

Keywords

Cite

@article{arxiv.2312.15030,
  title  = {Accelerating Nonequilibrium Green functions simulations: the G1-G2 scheme and beyond},
  author = {Michael Bonitz and Jan-Philip Joost and Christopher Makait and Erik Schroedter and Tim Karsberger and Karsten Balzer},
  journal= {arXiv preprint arXiv:2312.15030},
  year   = {2026}
}
R2 v1 2026-06-28T14:00:23.097Z