The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Graphene Oxide−Polyelectrolyte Nanomembranes
Abstract
Owing to its remarkable electrical, thermal, and mechanical properties, graphene, an atomic layer of carbon, is considered to be an excellent two-dimensional filler for polymer nanocomposites with outstanding mechanical strength along with the potential for excellent electrical and thermal properties. One of the critical limitations with conventional fillers is that the loading fraction required for achieving significant improvement in mechanical properties is relatively high, frequently reaching 50% for maximum strength. Here, we demonstrate that the mechanical properties of ultrathin laminated nanocomposites can be significantly enhanced by the incorporation of small amounts of a dense monolayer of planar graphene oxide (GO) flakes. Negatively charged functionalized graphene oxide layers were incorporated into polyelectrolyte multilayers (PEMs) fabricated in a layer-by-layer (LbL) assembly via Langmuir-Blodgett (LB) deposition. These LbL-LB graphene oxide nanocomposite films were released as robust freely standing membranes with large lateral dimensions (centimeters) and a thickness of around 50 nm. Micromechanical measurements showed enhancement of the elastic modulus by an order of magnitude, from 1.5 GPa for pure LbL membranes to about 20 GPa for only 8.0 vol % graphene oxide encapsulated LbL membranes. These tough nanocomposite PEMs can be freely suspended over large (few millimeters) apertures and sustain large mechanical deformations.
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
Two-dimensional gas of massless Dirac fermions in graphene
Novoselov, K. S., Geim, A. K., Morozov, S. V., Jiang, D., Katsnelson, M. I., Grigorieva, I. V., Dubonos, S. V., & Firsov, A. A. (2005) · Nature · doi:10.1038/nature04233 · Cited by 21,611
Graphene-based composite materials
Stankovich, S., Dikin, D. A., Dommett, G. H. B., Kohlhaas, K. M., Zimney, E. J., Stach, E. A., Piner, R. D., Nguyen, S. T., & Ruoff, R. S. (2006) · Nature · doi:10.1038/nature04969 · Cited by 12,922
Cited by
Graphene-based polymer nanocomposites
Potts, J. R., Dreyer, D. R., Bielawski, C. W., & Ruoff, R. S. (2011) · Polymer · doi:10.1016/j.polymer.2010.11.042 · Cited by 3,123
The mechanics of graphene nanocomposites: A review
Young, R. J., Kinloch, I. A., Gong, L., & Novoselov, K. S. (2012) · Composites Science and Technology · doi:10.1016/j.compscitech.2012.05.005 · Cited by 1,294
Graphene-polymer nanocomposites for structural and functional applications
Hu, K., Kulkarni, D. D., Choi, I., & Tsukruk, V. V. (2014) · Progress in Polymer Science · doi:10.1016/j.progpolymsci.2014.03.001 · Cited by 1,085
Self-citationPolymer Nanocomposites—A Comparison between Carbon Nanotubes, Graphene, and Clay as Nanofillers
Bhattacharya, M. (2016) · Materials · doi:10.3390/ma9040262 · Cited by 747
König, T. A. F., Ledin, P. A., Kerszulis, J., Mahmoud, M. A., El-Sayed, M. A., Reynolds, J. R., & Tsukruk, V. V. (2014) · ACS Nano · doi:10.1021/nn501601e · Cited by 458
Self-citationForming nanomaterials as layered functional structures toward materials nanoarchitectonics
Ariga, K., Ji, Q., Hill, J. P., Bando, Y., & Aono, M. (2012) · NPG Asia Materials · doi:10.1038/am.2012.30 · Cited by 403
Electrical percolation in graphene–polymer composites
Marsden, A. J., Papageorgiou, D. G., Vallés, C., Liscio, A., Palermo, V, Bissett, M. A., Young, R. J., & Kinloch, I. A. (2018) · 2D Materials · doi:10.1088/2053-1583/aac055 · Cited by 396
Flexible graphene devices related to energy conversion and storage
Wang, X., & Shi, G. (2015) · Energy & Environmental Science · doi:10.1039/c4ee03685a · Cited by 373
Bailey, E. J., & Winey, K. I. (2020) · Progress in Polymer Science · doi:10.1016/j.progpolymsci.2020.101242 · Cited by 371
Wang, H., Yuan, X., Wu, Y., Huang, H., Peng, X., Zeng, G., Zhong, H., Liang, J., & Ren, M. (2013) · Advances in Colloid and Interface Science · doi:10.1016/j.cis.2013.03.009 · Cited by 354
Graphene oxide incorporated functional materials: A review
Ahmad, H., Fan, M., & Hui, D. (2018) · Composites Part B: Engineering · doi:10.1016/j.compositesb.2018.02.006 · Cited by 315
Ultra‐Robust Graphene Oxide‐Silk Fibroin Nanocomposite Membranes
Hu, K., Gupta, M. K., Kulkarni, D. D., & Tsukruk, V. V. (2013) · Advanced Materials · doi:10.1002/adma.201300179 · Cited by 307
Self-citationMorphology, Crystallinity, and Molecular Weight of Poly(ε-caprolactone)/Graphene Oxide Hybrids
Castilla-Cortázar, I., Vidaurre, A., Marí, B., & Campillo-Fernández, A. J. (2019) · Polymers · doi:10.3390/polym11071099 · Cited by 86
Metadata
- Authors
- Kulkarni, D. D., Choi, I., Singamaneni, S. S., & Tsukruk, V. V.
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2010-07-29
- Volume
- 4
- Issue
- 8
- Pages
- 4667-4676
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W2010452088
- Cited by
- 281
- References
- 2
- FWCI
- 10.50
- 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.