The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Nanocarbon Composites and Hybrids in Sustainability: A Review
Abstract
There is an ever‐growing need to protect our environment by increasing energy efficiency and developing “clean” energy sources. These are global challenges, and their resolution is vital to our energy security. Although many conventional materials, such as metals, ceramics, and plastics, cannot fulfil all requirements for these new technologies, many material combinations can offer synergistic effects that create improved and even new properties. The implementation of nanocarbons, such as graphene and carbon nanotubes, into nanocomposites and, more recently, into the new class of hybrids, are very promising examples. In contrast to classical nanocomposites, where a low volume fraction of the carbon component is mixed into a polymer or ceramic matrix, hybrids are materials in which nanocarbon is coated with a thin layer of the functional compound, which introduces the interface as a powerful new parameter. Based on interfacial charge and energy transfer processes, nanocarbon hybrids have shown increased sensitivities in gas sensors, improved efficiencies in photovoltaics, superior activities in photocatalysts, and enhanced capacities in supercapacitors. This review compares the characteristics and potentials of both nanocarbon composites and hybrids, highlights recent developments in their synthesis and discusses key challenges for their use in various energy applications.
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
Ni(OH) 2 Nanoplates Grown on Graphene as Advanced Electrochemical Pseudocapacitor Materials
Wang, H., Casalongue, H. S., Liang, Y., & Dai, H. (2010) · Journal of the American Chemical Society · doi:10.1021/ja102267j · Cited by 2,042
Mechanical Properties of Monolayer Graphene Oxide
Suk, J. W., Piner, R. D., An, J., & Ruoff, R. S. (2010) · ACS Nano · doi:10.1021/nn101781v · Cited by 1,194
Preparation of graphene–TiO 2 composites with enhanced photocatalytic activity
Zhou, K., Zhu, Y., Yang, X., Jiang, X., & Li, C. (2011) · New J. Chem. · doi:10.1039/c0nj00623h · Cited by 576
Cited by
On the Synergetic Catalytic Effect in Heterogeneous Nanocomposite Catalysts
Shi, J. (2013) · Chemical Reviews · doi:10.1021/cr3002752 · Cited by 652
On the Configuration of Supercapacitors for Maximizing Electrochemical Performance
Zhang, J., & Zhao, X. S. (2012) · ChemSusChem · doi:10.1002/cssc.201100571 · Cited by 527
Metadata
- Authors
- Vilatela, J. J., & Eder, D.
- Venue
- ChemSusChem
- Publisher
- Wiley
- Published
- 2012-03-02
- Volume
- 5
- Issue
- 3
- Pages
- 456-478
- ISSN
- 1864-5631 (ISSN-L)
- 1864-564X
- OpenAlex
- W2005123588
- Cited by
- 178
- References
- 3
- FWCI
- 8.83
- 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
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.