Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 197

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Benchmark ofGWmethods for azabenzenes

Open access
Marom, Noa, Caruso, Fabio, Ren, Xinguo, Hofmann, Oliver T., Körzdörfer, Thomas, Chelikowsky, James R., Rubio, Angel, Scheffler, Matthias, Rinke, Patrick·2012·Physical Review B

Abstract

Many-body perturbation theory in the $GW$ approximation is a useful method for describing electronic properties associated with charged excitations. A hierarchy of $GW$ methods exists, starting from non-self-consistent ${G}_{0}$${W}_{0}$, through partial self-consistency in the eigenvalues and in the Green's function (sc$G{W}_{0}$), to fully self-consistent $GW$ (sc$GW$). Here, we assess the performance of these methods for benzene, pyridine, and the diazines. The quasiparticle spectra are compared to photoemission spectroscopy (PES) experiments with respect to all measured particle removal energies and the ordering of the frontier orbitals. We find that the accuracy of the calculated spectra does not match the expectations based on their level of self-consistency. In particular, for certain starting points ${G}_{0}$${W}_{0}$ and sc$G{W}_{0}$ provide spectra in better agreement with the PES than sc$GW$.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1103/physrevb.86.245127

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Cited by

See all 197

Metadata

Authors
Marom, N., Caruso, F., Ren, X., Hofmann, O. T., Körzdörfer, T., Chelikowsky, J. R., Rubio, A., Scheffler, M., & Rinke, P.
Venue
Physical Review B
Published
2012-12-26
Volume
86
Issue
24
ISSN
  • 1098-0121 (ISSN-L)
  • 1550-235X
OpenAlex
W1615960000
Cited by
197
References
2
FWCI
6.48
Type
journal article
Language
en
Open access
bronze

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Benchmark ofGWmethods for azabenzenes. https://app.cochat.ai/papers/10.1103/physrevb.86.245127
The paper
Marom, N., Caruso, F., Ren, X., Hofmann, O. T., Körzdörfer, T., Chelikowsky, J. R., Rubio, A., Scheffler, M., & Rinke, P. (2012). Benchmark ofGWmethods for azabenzenes. Physical Review B. https://doi.org/10.1103/physrevb.86.245127

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.