The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Optimization of ionic conductivity in doped ceria
Abstract
Oxides with the cubic fluorite structure, e.g., ceria (CeO 2 ), are known to be good solid electrolytes when they are doped with cations of lower valence than the host cations. The high ionic conductivity of doped ceria makes it an attractive electrolyte for solid oxide fuel cells, whose prospects as an environmentally friendly power source are very promising. In these electrolytes, the current is carried by oxygen ions that are transported by oxygen vacancies, present to compensate for the lower charge of the dopant cations. Ionic conductivity in ceria is closely related to oxygen-vacancy formation and migration properties. A clear physical picture of the connection between the choice of a dopant and the improvement of ionic conductivity in ceria is still lacking. Here we present a quantum-mechanical first-principles study of the influence of different trivalent impurities on these properties. Our results reveal a remarkable correspondence between vacancy properties at the atomic level and the macroscopic ionic conductivity. The key parameters comprise migration barriers for bulk diffusion and vacancy–dopant interactions, represented by association (binding) energies of vacancy–dopant clusters. The interactions can be divided into repulsive elastic and attractive electronic parts. In the optimal electrolyte, these parts should balance. This finding offers a simple and clear way to narrow the search for superior dopants and combinations of dopants. The ideal dopant should have an effective atomic number between 61 (Pm) and 62 (Sm), and we elaborate that combinations of Nd/Sm and Pr/Gd show enhanced ionic conductivity, as compared with that for each element separately.
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
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
From ultrasoft pseudopotentials to the projector augmented-wave method
Kresse, G., & Joubert, D. (1999) · Physical Review B · doi:10.1103/physrevb.59.1758 · Cited by 85,307
Special points for Brillouin-zone integrations
Monkhorst, H. J., & Pack, J. D. (1976) · Physical Review B · doi:10.1103/physrevb.13.5188 · Cited by 71,721
Cited by
Progress in material selection for solid oxide fuel cell technology: A review
Mahato, N., Banerjee, A., Gupta, A., Omar, S., & Balani, K. (2015) · Progress in Materials Science · doi:10.1016/j.pmatsci.2015.01.001 · Cited by 1,536
Oxygen Defects and Surface Chemistry of Ceria: Quantum Chemical Studies Compared to Experiment
Paier, J., Penschke, C., & Sauer, J. (2013) · Chemical Reviews · doi:10.1021/cr3004949 · Cited by 1,075
Metadata
- Authors
- Andersson, D. A., Simak, S. I., Skorodumova, N. V., Abrikosov, I. A., & Johansson, B.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2006-02-14
- Volume
- 103
- Issue
- 10
- Pages
- 3518-3521
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2092363334
- Cited by
- 545
- References
- 4
- FWCI
- 9.55
- Type
- journal article
- Language
- en
- Open access
- closed
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: Optimization of ionic conductivity in doped ceria. https://app.cochat.ai/papers/10.1073/pnas.0509537103
- The paper
- Andersson, D. A., Simak, S. I., Skorodumova, N. V., Abrikosov, I. A., & Johansson, B. (2006). Optimization of ionic conductivity in doped ceria. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0509537103
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.