Cited by 233Advanced Chemical Physics StudiesMachine Learning in Materials ScienceRare-earth and actinide compounds

Accurate projected augmented wave (PAW) datasets for rare-earth elements (RE=La–Lu)

Topsakal, M., Wentzcovitch, R.M.·2014·Computational Materials Science

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Crossref · 10.1016/j.commatsci.2014.07.030

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43 of 43 references verified0 citation errors · 0 not checkable

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  • All the data produced in this work is freely available on the Materials Cloud online platform, where the user can interactively browse the results and explore the data provenance.

    “All the data produced in this work is freely available on the Materials Cloud online platform [11], where the user can interactively browse the results and explore the data provenance.”

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Authors
Topsakal, M., & Wentzcovitch, R. M.
Affiliations
University of Minnesota (US)
Corresponding author
Topsakal, M.
Venue
Computational Materials Science
Publisher
Elsevier BV
Published
2014-12
Volume
95
Pages
263-270
ISSN
0927-0256 (ISSN-L)
OpenAlex
W2025595095
Cited by
232
References
43
Citations by year
2026: 23 · 2025: 31 · 2024: 35 · 2023: 29 · 2022: 20 · 2021: 20 · 2020: 23 · 2019: 9 · 2018: 17 · 2017: 14 · 2016: 6 · 2015: 4 · 2014: 1
FWCI
4.15
Type
journal article
Language
en
Open access
closed
Locations
Computational Materials Science (publishedVersion)
Funders
  • National Science Foundation
  • Vanderbilt University
  • Materials Research Science and Engineering Center, Harvard University
  • Division of Materials Research
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 › Physics and Astronomy › Condensed Matter Physics › Rare-earth and actinide compounds
Keywords
rare earth elements, rare earth nitrides, Hubbard U parameter, density of states, equation of state, hybrid functionals, open-source dataset

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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.

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