English

NESSi: The Non-Equilibrium Systems Simulation package

Computational Engineering, Finance, and Science 2020-08-26 v1

Abstract

The nonequilibrium dynamics of correlated many-particle systems is of interest in connection with pump-probe experiments on molecular systems and solids, as well as theoretical investigations of transport properties and relaxation processes. Nonequilibrium Green's functions are a powerful tool to study interaction effects in quantum many-particle systems out of equilibrium, and to extract physically relevant information for the interpretation of experiments. We present the open-source software package NESSi (The Non-Equilibrium Systems Simulation package) which allows to perform many-body dynamics simulations based on Green's functions on the L-shaped Kadanoff-Baym contour. NESSi contains the library libcntr which implements tools for basic operations on these nonequilibrium Green's functions, for constructing Feynman diagrams, and for the solution of integral and integro-differential equations involving contour Green's functions. The library employs a discretization of the Kadanoff-Baym contour into time NN points and a high-order implementation of integration routines. The total integrated error scales up to O(N7)\mathcal{O}(N^{-7}), which is important since the numerical effort increases at least cubically with the simulation time. A distributed-memory parallelization over reciprocal space allows large-scale simulations of lattice systems. We provide a collection of example programs ranging from dynamics in simple two-level systems to problems relevant in contemporary condensed matter physics, including Hubbard clusters and Hubbard or Holstein lattice models. The libcntr library is the basis of a follow-up software package for nonequilibrium dynamical mean-field theory calculations based on strong-coupling perturbative impurity solvers.

Keywords

Cite

@article{arxiv.1911.01211,
  title  = {NESSi: The Non-Equilibrium Systems Simulation package},
  author = {Michael Schüler and Denis Golež and Yuta Murakami and Nikolaj Bittner and Andreas Hermann and Hugo U. R. Strand and Philipp Werner and Martin Eckstein},
  journal= {arXiv preprint arXiv:1911.01211},
  year   = {2020}
}

Comments

86 pages, 15 figures

R2 v1 2026-06-23T12:04:01.863Z