The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
High-entropy mechanism to boost ionic conductivity
Abstract
Advances in solid-state batteries have primarily been driven by the discovery of superionic conducting structural frameworks that function as solid electrolytes. We demonstrate the ability of high-entropy metal cation mixes to improve ionic conductivity in a compound, which leads to less reliance on specific chemistries and enhanced synthesizability. The local distortions introduced into high-entropy materials give rise to an overlapping distribution of site energies for the alkali ions so that they can percolate with low activation energy. Experiments verify that high entropy leads to orders-of-magnitude higher ionic conductivities in lithium (Li)–sodium (Na) superionic conductor (Li-NASICON), sodium NASICON (Na-NASICON), and Li-garnet structures, even at fixed alkali content. We provide insight into selecting the optimal distortion and designing high-entropy superionic conductors across the vast compositional space.
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
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
Oses, C., Toher, C., & Curtarolo, S. (2020) · Nature Reviews Materials · doi:10.1038/s41578-019-0170-8 · Cited by 2,081
Cited by
Clarifying the four core effects of high-entropy materials
Hsu, W.-L., Tsai, C.-W., Yeh, A.-C., & Yeh, J.-W. (2024) · Nature Reviews Chemistry · doi:10.1038/s41570-024-00602-5 · Cited by 928
High-entropy materials for energy and electronic applications
Schweidler, S., Botros, M., Strauss, F., Wang, Q., Ma, Y., Velasco, L., Cadilha Marques, G., Sarkar, A., Kübel, C., Hahn, H., et al. (2024) · Nature Reviews Materials · doi:10.1038/s41578-024-00654-5 · Cited by 448
Huang, J., Wu, K., Xu, G., Wu, M., Dou, S., & Wu, C. (2023) · Chemical Society Reviews · doi:10.1039/d2cs01029a · Cited by 304
The promise of high-entropy materials for high-performance rechargeable Li-ion and Na-ion batteries
Zheng, W., Liang, G., Liu, Q., Li, J., Yuwono, J. A., Zhang, S., Peterson, V. K., & Guo, Z. (2023) · Joule · doi:10.1016/j.joule.2023.10.016 · Cited by 279
Dysregulation of the mTOR-FMRP pathway and synaptic plasticity in an environmental model of ASD
Hilal, M. L., Rosina, E., Pedini, G., Restivo, L., & Bagni, C. (2025) · Molecular Psychiatry · doi:10.1038/s41380-024-02805-0 · Cited by 13
Metadata
- Authors
- Zeng, Y., Ouyang, B., Liu, J., Byeon, Y.-W., Cai, Z., Miara, L. J., Wang, Y., & Ceder, G.
- Venue
- Science
- Published
- 2022-12-23
- Volume
- 378
- Issue
- 6626
- Pages
- 1320-1324
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W4312090027
- Cited by
- 558
- References
- 2
- FWCI
- 28.98
- 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: High-entropy mechanism to boost ionic conductivity. https://app.cochat.ai/papers/10.1126/science.abq1346
- The paper
- Zeng, Y., Ouyang, B., Liu, J., Byeon, Y.-W., Cai, Z., Miara, L. J., Wang, Y., & Ceder, G. (2022). High-entropy mechanism to boost ionic conductivity. Science. https://doi.org/10.1126/science.abq1346
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.
