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Knittable energy storing fiber with high volumetric performance made from predominantly MXene nanosheets
Open accessAbstract
Novel fibers from predominantly MXene nanosheets (∼88 wt%) were produced that showed high mechanical properties and an excellent volumetric capacitance of ∼341 F cm−3.
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Cited by
Super-tough MXene-functionalized graphene sheets
Zhou, T., Wu, C., Wang, Y., Tomsia, A. P., Li, M., Saiz, E., Fang, S., Baughman, R. H., Jiang, L., & Cheng, Q. (2020) · Nature Communications · doi:10.1038/s41467-020-15991-6 · Cited by 578
Flexible MXene‐Based Composites for Wearable Devices
Ma, C., Ma, M., Si, C., Ji, X., & Wan, P. (2021) · Advanced Functional Materials · doi:10.1002/adfm.202009524 · Cited by 544
Room-Temperature, Highly Durable Ti3C2Tx MXene/Graphene Hybrid Fibers for NH3 Gas Sensing
Lee, S. H., Eom, W., Shin, H., Ambade, R. B., Bang, J. H., Kim, H. W., & Han, T. H. (2020) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.9b21765 · Cited by 435
Metadata
- Authors
- Seyedin, S., Yanza, E. R. S., & Razal, J. M.
- Venue
- Journal of Materials Chemistry A
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2017
- Volume
- 5
- Issue
- 46
- Pages
- 24076-24082
- ISSN
- 2050-7488 (ISSN-L)
- 2050-7496
- OpenAlex
- W2765871984
- Cited by
- 279
- References
- 0
- FWCI
- 8.47
- Type
- journal article
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: Knittable energy storing fiber with high volumetric performance made from predominantly MXene nanosheets. https://app.cochat.ai/papers/10.1039/c7ta08355f
- The paper
- Seyedin, S., Yanza, E. R. S., & Razal, J. M. (2017). Knittable energy storing fiber with high volumetric performance made from predominantly MXene nanosheets. Journal of Materials Chemistry A. https://doi.org/10.1039/c7ta08355f
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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.
