Benchmarking the plasmon-pole and multipole approximations in the Yambo Code using the GW100 dataset

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Authors: M. Bonacci, D. A. Leon, N. Spallanzani, Elisa Molinari, D. Varsano, A. Ferretti, C. A. L. CARDOSO
Cited by: 0

Abstract

Verification and validation of electronic structure codes are essential to ensure reliable and reproducible results in computational materials science. While density functional theory has been extensively benchmarked, systematic assessments of many-body perturbation theory methods such as the GW approximation have only recently emerged, most notably through the GW100 dataset. In this work, we assess the numerical accuracy and convergence behavior of the GW implementation in the yambo code using both the Godby-Needs plasmon-pole model and the recently introduced multipole approximation. Quasiparticle energies are compared against GW100 reference data to evaluate the performance, numerical stability, and consistency of these approaches.

Fields of Study & Subjects

Advanced Chemical Physics Studies Machine Learning in Materials Science Physics of Superconductivity and Magnetism

Publication details

Journal / source
arXiv (Cornell University)
Publication date
7 February 2026
Language
EN
Document type
Preprint