Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 2,032

The DOI matches its Crossref record; 56 of the 56 references it cites were found in a registry or an index.

Q uantum ESPRESSO toward the exascale

Open access
Giannozzi, Paolo, Baseggio, Oscar, Bonfà, Pietro, Brunato, Davide, Car, Roberto, Carnimeo, Ivan, Cavazzoni, Carlo, de Gironcoli, Stefano, Delugas, Pietro, Ferrari Ruffino, Fabrizio, Ferretti, Andrea, Marzari, Nicola, Timrov, Iurii, Urru, Andrea, Baroni, Stefano·2020·The Journal of Chemical Physics

Abstract

Quantum ESPRESSO is an open-source distribution of computer codes for quantum-mechanical materials modeling, based on density-functional theory, pseudopotentials, and plane waves, and renowned for its performance on a wide range of hardware architectures, from laptops to massively parallel computers, as well as for the breadth of its applications. In this paper, we present a motivation and brief review of the ongoing effort to port Quantum ESPRESSO onto heterogeneous architectures based on hardware accelerators, which will overcome the energy constraints that are currently hindering the way toward exascale computing.

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 · 10.1063/5.0005082

Cites

56 of 56 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

Show all 56 references

Cited by

See all 2,032

Metadata

Authors
Giannozzi, P., Baseggio, O., Bonfà, P., Brunato, D., Car, R., Carnimeo, I., Cavazzoni, C., de Gironcoli, S., Delugas, P., Ferrari Ruffino, F., Ferretti, A., Marzari, N., Timrov, I., Urru, A., & Baroni, S.
Venue
The Journal of Chemical Physics
Published
2020-04-17
Volume
152
Issue
15
Pages
154105-154105
ISSN
  • 0021-9606 (ISSN-L)
  • 1089-7690
OpenAlex
W3016932526
Cited by
2,032
References
56
FWCI
159.39
Type
journal article
Language
en
Open access
green

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: Q uantum ESPRESSO toward the exascale. https://app.cochat.ai/papers/10.1063/5.0005082
The paper
Giannozzi, P., Baseggio, O., Bonfà, P., Brunato, D., Car, R., Carnimeo, I., Cavazzoni, C., de Gironcoli, S., Delugas, P., Ferrari Ruffino, F., Ferretti, A., Marzari, N., Timrov, I., Urru, A., & Baroni, S. (2020). Q uantum ESPRESSO toward the exascale. The Journal of Chemical Physics. https://doi.org/10.1063/5.0005082

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.