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Pseudopotentials periodic table: From H to Pu
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“We consider up to eight (depending on the element) publicly available PSP libraries for the PBE functional [8] and test them with the PWscf and Phonon codes of the Quantum ESPRESSO (QE) distribution [9] in an automated fashion within the framework of the AiiDA [10] infrastructure for reproducible computational science.”
From Precision and efficiency in solid-state pseudopotential calculations (2018) · cites this paper as [10]
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“This is the reason why we used AiiDA [10], an open-source Python infrastructure for computational science, that is specifically designed to track the provenance of data and calculations and that allow the user to implement workflows that can run complex sequences of calculations.”
From Precision and efficiency in solid-state pseudopotential calculations (2018) · cites this paper as [10]
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- Giannozzi, 2009, J. Phys.: Condens. Matter, 21, 395502
- Adllan, 2011, J. Phys.: Condens. Matter, 23, 425501
- 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
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Pasquier, D., & Yazyev, O. V. (2022) · Physical review. B./Physical review. B · doi:10.1103/physrevb.105.l081106 · Cited by 23
Richard, D., & Rendtorff, N. M. (2022) · Applied Clay Science · doi:10.1016/j.clay.2022.106444 · Cited by 25
Three-dimensional Fermi surfaces from charge order in layered CsV3Sb5
Huang, X., Guo, C., Putzke, C. M., Gutierrez‐Amigo, M., Sun, Y., Vergniory, M. G., Errea, I., Chen, D., Felser, C., & Moll, P. J. W. (2022) · Physical review. B./Physical review. B · doi:10.1103/physrevb.106.064510 · Cited by 23
Edzards, J., Saßnick, H., Buzanich, A. G., Valencia, A. M., Emmerling, F., Beyer, S., & Cocchi, C. (2023) · The Journal of Physical Chemistry C · doi:10.1021/acs.jpcc.3c06054 · Cited by 23
Santamarı́a-Pérez, D., Chuliá-Jordán, R., González‐Platas, J., Otero‐de‐la‐Roza, A., Ruiz‐Fuertes, J., Pellicer‐Porres, J., Oliva, R., & Popescu, C. (2024) · Crystal Growth & Design · doi:10.1021/acs.cgd.3c01171 · Cited by 23
“52,53 The PAW data sets used from the pslibrary 54 had 1 (H), 4 (C), 6 (O), and 10 (Mg) valence electrons.”
MethodPanfilov, A. S., Grechnev, G. E., Lyogenkaya, A. A., Пащенко, В. А., Zhuravleva, I. P., Vasylechko, L. O., Hreb, V. M., Турченко, В. А., & Novoselov, D. Y. (2018) · Physica B Condensed Matter · doi:10.1016/j.physb.2018.10.036 · Cited by 23
Mafra, D. L., Olmos‐Asar, J. A., Negreiros, F. R., Reina, A., Kim, K. K., Dresselhaus, M. S., Kong, J., Mankey, G. J., & Araújo, P. T. (2018) · Physical Review Materials · doi:10.1103/physrevmaterials.2.073404 · Cited by 23
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
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