The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Anomalous nano-barrier effects of ultrathin molybdenum disulfide nanosheets for improving the flame retardance of polymer nanocomposites
Abstract
Polymer/graphene-analogous nanosheet composites have great potential for improving their physical and mechanical properties during the past few years.
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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
Cited by
Recent Developments in Nanocellulose-Based Aerogels in Thermal Applications: A Review
Ahankari, S., Paliwal, P., Subhedar, A., & Kargarzadeh, H. (2021) · ACS Nano · doi:10.1021/acsnano.0c09678 · Cited by 281
Metadata
- Authors
- Wang, D., Song, L., Zhou, K., Yu, X., Hu, Y., & Wang, J.
- Venue
- Journal of Materials Chemistry A
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2015
- Volume
- 3
- Issue
- 27
- Pages
- 14307-14317
- ISSN
- 2050-7488 (ISSN-L)
- 2050-7496
- OpenAlex
- W1896473827
- Cited by
- 200
- References
- 1
- FWCI
- 9.94
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Anomalous nano-barrier effects of ultrathin molybdenum disulfide nanosheets for improving the flame retardance of polymer nanocomposites. https://app.cochat.ai/papers/10.1039/c5ta01720c
- The paper
- Wang, D., Song, L., Zhou, K., Yu, X., Hu, Y., & Wang, J. (2015). Anomalous nano-barrier effects of ultrathin molybdenum disulfide nanosheets for improving the flame retardance of polymer nanocomposites. Journal of Materials Chemistry A. https://doi.org/10.1039/c5ta01720c
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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.
