The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
High-power all-solid-state batteries using sulfide superionic conductors
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
Armand, M., & Tarascon, J.-M. (2008) · Nature · doi:10.1038/451652a · Cited by 19,612
Lithium Batteries: Status, Prospects and Future
Scrosati, B., & Garche, J. (2010) · Journal of Power Sources · doi:10.1016/j.jpowsour.2009.11.048 · Cited by 5,153
Electrical characteristics of 18650 Li-ion cells at low temperatures
Nagasubramanian, G. (2001) · Journal of Applied Electrochemistry · doi:10.1023/a:1004113825283 · Cited by 254
Cited by
Reviving the lithium metal anode for high-energy batteries
Lin, D., Liu, Y., & Cui, Y. (2017) · Nature Nanotechnology · doi:10.1038/nnano.2017.16 · Cited by 6,763
A solid future for battery development
Janek, J., & Zeier, W. G. (2016) · Nature Energy · doi:10.1038/nenergy.2016.141 · Cited by 3,979
Designing solid-state electrolytes for safe, energy-dense batteries
Zhao, Q., Stalin, S., Zhao, C.-Z., & Archer, L. A. (2020) · Nature Reviews Materials · doi:10.1038/s41578-019-0165-5 · Cited by 2,372
Mitigating Thermal Runaway of Lithium-Ion Batteries
Feng, X., Ren, D., He, X., & Ouyang, M. (2020) · Joule · doi:10.1016/j.joule.2020.02.010 · Cited by 1,735
All solid-state polymer electrolytes for high-performance lithium ion batteries
Yue, L., Ma, J., Zhang, J., Zhao, J., Dong, S., Liu, Z., Cui, G., & Chen, L. (2016) · Energy Storage Materials · doi:10.1016/j.ensm.2016.07.003 · Cited by 1,020
Metadata
- Authors
- Kato, Y., Hori, S., Saito, T., Suzuki, K., Hirayama, M., Mitsui, A., Yonemura, M., Iba, H., & Kanno, R.
- Venue
- Nature Energy
- Published
- 2016-03-21
- Volume
- 1
- Issue
- 4
- Pages
- 16030
- ISSN
- 2058-7546 (ISSN-L)
- OpenAlex
- W2321696461
- Cited by
- 3,517
- References
- 3
- FWCI
- 117.85
- 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-power all-solid-state batteries using sulfide superionic conductors. https://app.cochat.ai/papers/10.1038/nenergy.2016.30
- The paper
- Kato, Y., Hori, S., Saito, T., Suzuki, K., Hirayama, M., Mitsui, A., Yonemura, M., Iba, H., & Kanno, R. (2016). High-power all-solid-state batteries using sulfide superionic conductors. Nature Energy. https://doi.org/10.1038/nenergy.2016.30
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.