Tommaso Chiarotti^1*, Nicola Marzari^1*, Andrea Ferretti^2*

1 Theory and Simulations of Materials (THEOS) and National Centre for Computational Design and Discovery of Novel Materials (MARVEL), École Polytechnique Fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland

2 Centro S3, CNR--Istituto Nanoscienze, 41125 Modena, Italy

* Corresponding authors emails: tommaso.chiarotti@epfl.ch, nicola.marzari@epfl.ch, andrea.ferretti@nano.cnr.it

DOI10.24435/materialscloud:mx-3a [version v2]

Publication date: Jan 28, 2022

How to cite this record

Tommaso Chiarotti, Nicola Marzari, Andrea Ferretti, A unified Green's function approach for spectral and thermodynamic properties from algorithmic inversion of dynamical potentials, Materials Cloud Archive 2022.15 (2022), https://doi.org/10.24435/materialscloud:mx-3a

Description

Dynamical potentials appear in many advanced electronic-structure methods, including self-energies from many-body perturbation theory, dynamical mean-field theory, electronic-transport formulations, and many embedding approaches. Here, we propose a novel treatment for the frequency dependence, introducing an algorithmic inversion method that can be applied to dynamical potentials expanded as sum-over-poles. This approach allows for an exact solution of Dyson-like equations at all frequencies via a mapping to a matrix diagonalization, and provides simultaneously frequency-dependent (spectral) and frequency-integrated (thermodynamic) properties of the Dyson-inverted propagators. The transformation to a sum-over-poles is performed introducing n-th order generalized Lorentzians as an improved basis set to represent the spectral function of a propagator. Numerical results for the homogeneous electron gas at the G0W0 level are provided to argue for the accuracy and efficiency of such unified approach. In this record, we provide the input and outputs of the AGWX suite (see article) used in the work. Also, we add the plots of the obtained Green's function for all densities, k-points, and frequencies.

Materials Cloud sections using this data

Files

File name	Size	Description
archive.tar MD5md5:e460c055bdd97a2cff9e88bdc1f6fabb	682.5 MiB	Tar archive providing the used inputs and the calculated outputs and data. See README.txt for further details.

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External references

Keywords

computational materials science many-body perturbation theory (GW) homogeneous electron gas SNSF MARVEL MaX