The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Ultrahigh energy storage in superparaelectric relaxor ferroelectrics
Open accessAbstract
Minimal domains for maximum energy: Dielectric capacitors are important electronic components that can store energy, at least for a short period of time. Pan et al . used phase-field simulations to help determine the right combination of bismuth iron oxide, barium titanium oxide, and samarium doping that is likely to generate a material with excellent dielectric properties (see the Perspective by Chu). The simulations guide a set of experimental measurements showing this system can produce a very high-energy storage by breaking down polar domains to the nanometer scale. These materials could be useful for high-power applications and to suppress failure. —BG
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
Ultrahigh capacitive energy density in ion-bombarded relaxor ferroelectric films
Kim, J., Saremi, S., Acharya, M., Velarde, G., Parsonnet, E., Donahue, P., Qualls, A., Garcia, D., & Martin, L. W. (2020) · Science · doi:10.1126/science.abb0631 · Cited by 394
Cited by
Interfacial Polarization Restriction for Ultrahigh Energy‐Storage Density in Lead‐Free Ceramics
Cao, W., Lin, R., Hou, X., Li, L., Li, F., Bo, D., Ge, B., Song, D., Zhang, J., Cheng, Z., et al. (2023) · Advanced Functional Materials · doi:10.1002/adfm.202301027 · Cited by 280
Metadata
- Authors
- Pan, H., Lan, S., Xu, S., Zhang, Q., Yao, H., Liu, Y., Meng, F., Guo, E.-J., Gu, L., Yi, D., Renshaw Wang, X., Huang, H., MacManus-Driscoll, J. L., Chen, L.-Q., Jin, K.-J., Nan, C.-W., & Lin, Y.-H.
- Venue
- Science
- Published
- 2021-10
- Volume
- 374
- Issue
- 6563
- Pages
- 100-104
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W3202132086
- Cited by
- 802
- References
- 1
- FWCI
- 32.83
- 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: Ultrahigh energy storage in superparaelectric relaxor ferroelectrics. https://app.cochat.ai/papers/10.1126/science.abi7687
- The paper
- Pan, H., Lan, S., Xu, S., Zhang, Q., Yao, H., Liu, Y., Meng, F., Guo, E.-J., Gu, L., Yi, D., Renshaw Wang, X., Huang, H., MacManus-Driscoll, J. L., Chen, L.-Q., Jin, K.-J., Nan, C.-W., & Lin, Y.-H. (2021). Ultrahigh energy storage in superparaelectric relaxor ferroelectrics. Science. https://doi.org/10.1126/science.abi7687
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.
