The DOI matches its Crossref record.
Silicon nanowires for rechargeable lithium-ion battery anodes
Abstract
Large-area, wafer-scale silicon nanowire arrays prepared by metal-induced chemical etching are shown as promising scalable anode materials for rechargeable lithium battery. In addition to being low cost, large area, and easy to prepare, the electroless-etched silicon nanowires (SiNWs) have good conductivity and nanometer-scale rough surfaces; both features facilitate charge transport and insertion/extraction of Li ions. The electroless-etched SiNWs anode showed larger charge capacity and longer cycling stability than the conventional planar-polished Si wafer.
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
Cited by
Metal‐Assisted Chemical Etching of Silicon: A Review: In memory of Prof. Ulrich Gösele
Huang, Z., Geyer, N., Werner, P., de Boor, J., & Gösele, U. (2011) · Advanced Materials · doi:10.1002/adma.201001784 · Cited by 1,909
Nanomaterials for renewable energy production and storage
Chen, X., Li, C., Grätzel, M., Kostecki, R., & Mao, S. S. (2012) · Chemical Society Reviews · doi:10.1039/c2cs35230c · Cited by 1,015
Electrolyte additives for lithium ion battery electrodes: progress and perspectives
Haregewoin, A. M., Wotango, A. S., & Hwang, B.-J. (2016) · Energy Environ. Sci. · doi:10.1039/c6ee00123h · Cited by 907
A review of current collectors for lithium-ion batteries
Zhu, P., Gastol, D., Marshall, J., Sommerville, R., Goodship, V., & Kendrick, E. (2021) · Journal of Power Sources · doi:10.1016/j.jpowsour.2020.229321 · Cited by 523
Nanowires for Electrochemical Energy Storage
Zhou, G., Xu, L., Hu, G., Mai, L., & Cui, Y. (2019) · Chemical Reviews · doi:10.1021/acs.chemrev.9b00326 · Cited by 439
Metadata
- Authors
- Peng, K., Jie, J., Zhang, W., & Lee, S.-T.
- Venue
- Applied Physics Letters
- Publisher
- AIP Publishing
- Published
- 2008-07-21
- Volume
- 93
- Issue
- 3
- ISSN
- 0003-6951 (ISSN-L)
- 1077-3118
- OpenAlex
- W2024084679
- Cited by
- 421
- References
- 0
- FWCI
- 18.83
- 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: Silicon nanowires for rechargeable lithium-ion battery anodes. https://app.cochat.ai/papers/10.1063/1.2929373
- The paper
- Peng, K., Jie, J., Zhang, W., & Lee, S.-T. (2008). Silicon nanowires for rechargeable lithium-ion battery anodes. Applied Physics Letters. https://doi.org/10.1063/1.2929373
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.
