The DOI matches its Crossref record.
Complete Corrosion Inhibition through Graphene Defect Passivation
Abstract
Graphene is expected to enable superior corrosion protection due to its impermeability and chemical inertness. Previous reports, however, demonstrate limited corrosion inhibition and even corrosion enhancement of graphene on metal surfaces. To enable the reliable and complete passivation, the origin of the low inhibition efficiency of graphene was investigated. Combining electrochemical and morphological characterization techniques, nanometer-sized structural defects in chemical vapor deposition grown graphene were found to be the cause for the limited passivation effect. Extremely fast mass transport on the order of meters per second both across and parallel to graphene layers results in an inhibition efficiency of only ∼50% for Cu covered with up to three graphene layers. Through selective passivation of the defects by atomic layer deposition (ALD) an enhanced corrosion protection of more than 99% was achieved, which compares favorably with commercial corrosion protection methods.
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
Surface chemistry and catalysis confined under two-dimensional materials
Fu, Q., & Bao, X. (2017) · Chemical Society Reviews · doi:10.1039/c6cs00424e · Cited by 532
Two-dimensional materials prospects for non-volatile spintronic memories
Yang, H., Valenzuela, S. O., Chshiev, M., Couet, S., Dieny, B., Dlubak, B., Fert, A., Garello, K., Jamet, M., Jeong, D.-E., et al. (2022) · Nature · doi:10.1038/s41586-022-04768-0 · Cited by 447
A brief review of corrosion protective films and coatings based on graphene and graphene oxide
Ding, R., Li, W., Wang, X., Gui, T., Li, B., Han, P., Tian, H., Liu, A., Wang, X., Liu, X., et al. (2018) · Journal of Alloys and Compounds · doi:10.1016/j.jallcom.2018.06.133 · Cited by 359
Flash Graphene from Plastic Waste
Algozeeb, W. A., Savas, P. E., Luong, D. X., Chen, W., Kittrell, C., Bhat, M., Shahsavari, R., & Tour, J. M. (2020) · ACS Nano · doi:10.1021/acsnano.0c06328 · Cited by 301
Metadata
- Authors
- Hsieh, Y.-P., Hofmann, M., Chang, K.-W., Jhu, J. G., Li, Y.-Y., Chen, K. Y., Yang, C. C., Chang, W.-S., & Chen, L.-C.
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2013-12-26
- Volume
- 8
- Issue
- 1
- Pages
- 443-448
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W1980747979
- Cited by
- 264
- References
- 0
- FWCI
- 7.40
- 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: Complete Corrosion Inhibition through Graphene Defect Passivation. https://app.cochat.ai/papers/10.1021/nn404756q
- The paper
- Hsieh, Y.-P., Hofmann, M., Chang, K.-W., Jhu, J. G., Li, Y.-Y., Chen, K. Y., Yang, C. C., Chang, W.-S., & Chen, L.-C. (2014). Complete Corrosion Inhibition through Graphene Defect Passivation. ACS Nano. https://doi.org/10.1021/nn404756q
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.