The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Stepwise Nanopore Evolution in One-Dimensional Nanostructures
Abstract
We report that established simple lithium (Li) ion battery cycles can be used to produce nanopores inside various useful one-dimensional (1D) nanostructures such as zinc oxide, silicon, and silver nanowires. Moreover, porosities of these 1D nanomaterials can be controlled in a stepwise manner by the number of Li-battery cycles. Subsequent pore characterization at the end of each cycle allows us to obtain detailed snapshots of the distinct pore evolution properties in each material due to their different atomic diffusion rates and types of chemical bonds. Also, this stepwise characterization led us to the first observation of pore size increases during cycling, which can be interpreted as a similar phenomenon to Ostwald ripening in analogous nanoparticle cases. Finally, we take advantage of the unique combination of nanoporosity and 1D materials and demonstrate nanoporous silicon nanowires (poSiNWs) as excellent supercapacitor (SC) electrodes in high power operations compared to existing devices with activated carbon.
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
Ordered porous materials for emerging applications
Davis, M. E. (2002) · Nature · doi:10.1038/nature00785 · Cited by 5,308
Generalized syntheses of large-pore mesoporous metal oxides with semicrystalline frameworks
Yang, P., Zhao, D., Margolese, D. I., Chmelka, B. F., & Stucky, G. D. (1998) · Nature · doi:10.1038/24132 · Cited by 2,493
Cited by
Designing nanostructured Si anodes for high energy lithium ion batteries
Wu, H., & Cui, Y. (2012) · Nano Today · doi:10.1016/j.nantod.2012.08.004 · Cited by 2,350
Self-citationHou, J., Cao, C., Idrees, F., & Ma, X. (2015) · ACS Nano · doi:10.1021/nn506394r · Cited by 1,529
Electrospun Core–Shell Fibers for Robust Silicon Nanoparticle-Based Lithium Ion Battery Anodes
Hwang, T. H., Lee, Y. M., Kong, B.-S., Seo, J.-S., & Choi, J. W. (2012) · Nano Letters · doi:10.1021/nl203817r · Cited by 658
Self-citationPrelithiated Silicon Nanowires as an Anode for Lithium Ion Batteries
Liu, N., Hu, L., McDowell, M. T., Jackson, A., & Cui, Y. (2011) · ACS Nano · doi:10.1021/nn2017167 · Cited by 578
Self-citationZhang, G., Xiao, X., Li, B., Gu, P., Xue, H., & Pang, H. (2017) · Journal of Materials Chemistry A · doi:10.1039/c7ta02454a · Cited by 458
Metadata
- Authors
- Choi, J. W., McDonough, J., Jeong, S., Yoo, J. S., Chan, C. K., & Cui, Y.
- Venue
- Nano Letters
- Publisher
- American Chemical Society (ACS)
- Published
- 2010-03-25
- Volume
- 10
- Issue
- 4
- Pages
- 1409-1413
- ISSN
- 1530-6984 (ISSN-L)
- 1530-6992
- OpenAlex
- W2112242801
- Cited by
- 244
- References
- 2
- FWCI
- 9.62
- 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
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.