Cited by 2,016Advanced Chemical Physics StudiesMachine Learning in Materials ScienceThermodynamic and Structural Properties of Metals and Alloys

The DOI matches its Crossref record; 47 of the 48 references it cites were found in a registry or an index.

Pseudopotentials periodic table: From H to Pu

Dal Corso, Andrea·2014·Computational Materials Science

Overview

Integrity signals

Registry

Crossref · 10.1016/j.commatsci.2014.07.043

Cites

47 of 47 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

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Show all 48 references

1 of the 48 references couldn’t be matched to a known paper.

Research works printed but not linked: 4

  1. Giannozzi, 2009, J. Phys.: Condens. Matter, 21, 395502
  2. Adllan, 2011, J. Phys.: Condens. Matter, 23, 425501
  3. E. Küçükbenli, M. Monni, B.I. Adetunji, X. Ge, G.A. Adebayo, N. Marzari, S. de Gironcoli, A. Dal Corso, submitted for publication. arXiv:1404.3015. · arXiv
  4. Kutepov, 2003, J. Phys.: Condens. Matter, 15, 2607

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Metadata

Authors
Dal Corso, A.
Venue
Computational Materials Science
Publisher
Elsevier BV
Published
2014-12
Volume
95
Pages
337-350
ISSN
0927-0256 (ISSN-L)
OpenAlex
W2051427315
Cited by
2,016
References
48
Citations by year
2026: 254 · 2025: 298 · 2024: 256 · 2023: 271 · 2022: 243 · 2021: 222 · 2020: 154 · 2019: 110 · 2018: 93 · 2017: 60 · 2016: 35 · 2015: 18 · 2014: 1
FWCI
18.91
Type
journal article
Language
en
Open access
closed
Locations
  • Computational Materials Science (publishedVersion)
  • SDL (submittedVersion)
Funders
Ministero dell’Istruzione, dell’Università e della Ricerca
Topics
  • Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Advanced Chemical Physics Studies
  • Physical Sciences › Materials Science › Materials Chemistry › Machine Learning in Materials Science
  • Physical Sciences › Materials Science › Metals and Alloys › Thermodynamic and Structural Properties of Metals and Alloys
Keywords
pseudopotentials, periodic table, ultrasoft pseudopotentials, lattice parameters, relativistic pseudopotentials, lanthanides, actinides

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.

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