The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
Accurate projected augmented wave (PAW) datasets for rare-earth elements (RE=La–Lu)
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“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.”
From Precision and efficiency in solid-state pseudopotential calculations (2018) · cites this paper as [11]
Citations
Cites
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Self-citationAccurate and simple analytic representation of the electron-gas correlation energy
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Cited by
Sorted by citations
Q uantum ESPRESSO toward the exascale
Giannozzi, P., Baseggio, O., Bonfà, P., Brunato, D., Car, R., Carnimeo, I., Cavazzoni, C., de Gironcoli, S., Delugas, P., Ruffino, F. F., et al. (2020) · The Journal of Chemical Physics · doi:10.1063/5.0005082 · Cited by 2,197
Mounet, N., Gibertini, M., Schwaller, P., Campi, D., Merkys, A., Marrazzo, A., Sohier, T., Castelli, I. E., Cepellotti, A., Pizzi, G., et al. (2018) · Nature Nanotechnology · doi:10.1038/s41565-017-0035-5 · Cited by 1,863
Precision and efficiency in solid-state pseudopotential calculations
Prandini, G., Marrazzo, A., Castelli, I. E., Mounet, N., & Marzari, N. (2018) · npj Computational Materials · doi:10.1038/s41524-018-0127-2 · Cited by 917
Ultrafast control of magnetic interactions via light-driven phonons
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Machine learning the Hubbard U parameter in DFT+U using Bayesian optimization
Yu, M., Yang, S., Wu, C., & Marom, N. (2020) · npj Computational Materials · doi:10.1038/s41524-020-00446-9 · Cited by 203
Metadata
- 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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