The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
The PseudoDojo: Training and grading a 85 element optimized norm-conserving pseudopotential table
Open accessAbstract
Abstract First-principles calculations in crystalline structures are often performed with a planewave basis set. To make the number of basis functions tractable two approximations are usually introduced: core electrons are frozen and the diverging Coulomb potential near the nucleus is replaced by a smoother expression. The norm-conserving pseudopotential was the first successful method to apply these approximations in a fully ab initio way. Later on, more efficient and more exact approaches were developed based on the ultrasoft and the projector augmented wave formalisms. These formalisms are however more complex and developing new features in these frameworks is usually more difficult than in the norm-conserving framework. Most of the existing tables of norm-conserving pseudopotentials, generated long ago, do not include the latest developments, are not systematically tested or are not designed primarily for high precision. In this paper, we present our PseudoDojo framework for developing and testing full tables of pseudopotentials, and demonstrate it with a new table generated with the ONCVPSP approach. The PseudoDojo is an open source project, building on the AbiPy package, for developing and systematically testing pseudopotentials. At present it contains 7 different batteries of tests executed with ABINIT , which are performed as a function of the energy cutoff. The results of these tests are then used to provide hints for the energy cutoff for actual production calculations. Our final set contains 141 pseudopotentials split into a standard and a stringent accuracy table. In total around 70,000 calculations were performed to test the pseudopotentials. The process of developing the final table led to new insights into the effects of both the core-valence partitioning and the non-linear core corrections on the stability, convergence, and transferability of norm-conserving pseudopotentials. The PseudoDojo hence provides a set of pseudopotentials and general purpose tools for further testing and development, focusing on highly accurate calculations and their use in the development of ab initio packages. The pseudopotential files are available on the PseudoDojo web-interface pseudo-dojo.org under the name NC (ONCVPSP) v0.4 in the psp8, UPF2, and PSML 1.1 formats. The webinterface also provides the inputs, which are compatible with the 3.3.1 and higher versions of ONCVPSP. All tests have been performed with ABINIT 8.4.
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.
Integrity signals
Registry
Cites
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.
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
Generalized Gradient Approximation Made Simple
Perdew, J. P., Burke, K., & Ernzerhof, M. (1996) · Physical Review Letters · doi:10.1103/physrevlett.77.3865 · Cited by 215,824
Efficient iterative schemes for ab initio total-energy calculations using a plane-wave basis set
Kresse, G., & Furthmüller, J. (1996) · Physical Review B · doi:10.1103/physrevb.54.11169 · Cited by 123,652
Projector augmented-wave method
Blöchl, P. E. (1994) · Physical Review B · doi:10.1103/physrevb.50.17953 · Cited by 92,732
Self-Consistent Equations Including Exchange and Correlation Effects
Kohn, W., & Sham, L. J. (1965) · Physical Review · doi:10.1103/physrev.140.a1133 · Cited by 64,135
Norm-Conserving Pseudopotentials
Hamann, D. R., Schlüter, M., & Chiang, C. (1979) · Physical Review Letters · doi:10.1103/physrevlett.43.1494 · Cited by 4,511
Self-citationOptimized norm-conserving Vanderbilt pseudopotentials
Hamann, D. R. (2013) · Physical Review B · doi:10.1103/physrevb.88.085117 · Cited by 3,379
Self-citationReproducibility in density functional theory calculations of solids
Lejaeghere, K., Bihlmayer, G., Björkman, T., Blaha, P., Blügel, S., Blum, V., Caliste, D., Castelli, I. E., Clark, S. J., Dal Corso, A., et al. (2016) · Science · doi:10.1126/science.aad3000 · Cited by 1,649
Self-citationOptimization algorithm for the generation of ONCV pseudopotentials
Schlipf, M., & Gygi, F. (2015) · Computer Physics Communications · doi:10.1016/j.cpc.2015.05.011 · Cited by 1,300
Analysis of separable potentials
Gonze, X., Stumpf, R., & Scheffler, M. (1991) · Physical Review B · doi:10.1103/physrevb.44.8503 · Cited by 605
Self-citationGeneration of Projector Augmented-Wave atomic data: A 71 element validated table in the XML format
Jollet, F., Torrent, M., & Holzwarth, N. (2014) · Computer Physics Communications · doi:10.1016/j.cpc.2013.12.023 · Cited by 313 · cited 5×
“[22, 37] This seems to suggest that the error originates from the freezing of the core rather than from pseudizing the valence electrons.”
BackgroundMethodInfluential
Cited by
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., Ferrari Ruffino, F., et al. (2020) · The Journal of Chemical Physics · doi:10.1063/5.0005082 · Cited by 2,032
QuantumATK: an integrated platform of electronic and atomic-scale modelling tools
Smidstrup, S., Markussen, T., Vancraeyveld, P., Wellendorff, J., Schneider, J., Gunst, T., Verstichel, B., Stradi, D., Khomyakov, P. A., Vej-Hansen, U. G., et al. (2020) · Journal of Physics: Condensed Matter · doi:10.1088/1361-648x/ab4007 · Cited by 1,920
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
The Abinitproject: Impact, environment and recent developments
Gonze, X., Amadon, B., Antonius, G., Arnardi, F., Baguet, L., Beuken, J.-M., Bieder, J., Bottin, F., Bouchet, J., Bousquet, E., et al. (2020) · Computer Physics Communications · doi:10.1016/j.cpc.2019.107042 · Cited by 744
Self-citationLow-loss contacts on textured substrates for inverted perovskite solar cells
Park, S. M., Wei, M., Lempesis, N., Yu, W., Hossain, T., Agosta, L., Carnevali, V., Atapattu, H. R., Serles, P., Eickemeyer, F. T., et al. (2023) · Nature · doi:10.1038/s41586-023-06745-7 · Cited by 572
Metadata
- Authors
- van Setten, M. J., Giantomassi, M., Bousquet, E., Verstraete, M. J., Hamann, D. R., Gonze, X., & Rignanese, G.-M.
- Venue
- Computer Physics Communications
- Publisher
- Elsevier BV
- Published
- 2018-05
- Volume
- 226
- Pages
- 39-54
- ISSN
- 0010-4655 (ISSN-L)
- OpenAlex
- W2767044503
- Cited by
- 2,169
- References
- 10
- FWCI
- 54.45
- 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: The PseudoDojo: Training and grading a 85 element optimized norm-conserving pseudopotential table. https://app.cochat.ai/papers/10.1016/j.cpc.2018.01.012
- The paper
- van Setten, M. J., Giantomassi, M., Bousquet, E., Verstraete, M. J., Hamann, D. R., Gonze, X., & Rignanese, G.-M. (2018). The PseudoDojo: Training and grading a 85 element optimized norm-conserving pseudopotential table. Computer Physics Communications. https://doi.org/10.1016/j.cpc.2018.01.012
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.