The DOI matches its Crossref record; 182 of the 182 references it cites were found in a registry or an index.
Electrospinning and Nanofiber Technology: Fundamentals, Innovations, and Applications
Open accessAbstract
Electrospinning has emerged as a transformative technique for fabricating nanofibers (NFs), offering precise control over their morphology, composition, and functionality. This versatile process facilitates the production of fibers ranging from nanoscale to microscale with customized properties, integrating diverse materials and architectures for advanced research and industrial applications. This review presents recent advancements in electrospinning, addressing its fundamental principles, nanomaterial synthesis methods, and examples from a wide range of applications. The significant progress that are made in fabricating polymer, metal oxide, carbon, and composite NFs with diverse architectures such as porous, core–shell, hollow, and aligned structures is highlighted. Advanced electrospinning techniques, including coaxial electrospinning, aligned electrospinning, yarn electrospinning, and roll‐to‐roll processes, demonstrate the scalability and adaptability of electrospinning for the development of next‐generation nanomaterials. Electrospun NFs are being actively applied to functional membranes, gas sensors, energy systems, and catalytic processes, addressing critical challenges in these respective areas. In conclusion, the groundbreaking potential of integrating artificial intelligence (AI)‐driven optimization with sustainable material design, such as the use of environmentally‐friendly “green” solvents, is emphasized. In the end, leveraging robotics‐based electrospinning and AI‐enhanced methodologies is essential to achieve stable scalability, optimized performance, and sustainability for research and industry.
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Cites
Functional Porous Coordination Polymers
Kitagawa, S., Kitaura, R., & Noro, S. (2004) · Angewandte Chemie International Edition · doi:10.1002/anie.200300610 · Cited by 11,071
A review on polymer nanofibers by electrospinning and their applications in nanocomposites
Huang, Z.-M., Zhang, Y.-Z., Kotaki, M., & Ramakrishna, S. (2003) · Composites Science and Technology · doi:10.1016/s0266-3538(03)00178-7 · Cited by 7,556
Electrospinning of Nanofibers: Reinventing the Wheel?
Li, D., & Xia, Y. (2004) · Advanced Materials · doi:10.1002/adma.200400719 · Cited by 5,521
Electrospinning and Electrospun Nanofibers: Methods, Materials, and Applications
Xue, J., Wu, T., Dai, Y., & Xia, Y. (2019) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00593 · Cited by 5,015
Disintegration of water drops in an electric field
Taylor, G. I. (1964) · Proceedings of the Royal Society of London. Series A. Mathematical and Physical Sciences · doi:10.1098/rspa.1964.0151 · Cited by 3,305
Electrospinning jets and polymer nanofibers
Reneker, D. H., & Yarin, A. L. (2008) · Polymer · doi:10.1016/j.polymer.2008.02.002 · Cited by 2,306
A review on electrospinning design and nanofibre assemblies
Teo, W. E., & Ramakrishna, S. (2006) · Nanotechnology · doi:10.1088/0957-4484/17/14/r01 · Cited by 2,289
Lu, G., Li, S., Guo, Z., Farha, O. K., Hauser, B. G., Qi, X., Wang, Y., Wang, X., Han, S., Liu, X., et al. (2012) · Nature Chemistry · doi:10.1038/nchem.1272 · Cited by 2,148
Haider, A., Haider, S., & Kang, I.-K. (2018) · Arabian Journal of Chemistry · doi:10.1016/j.arabjc.2015.11.015 · Cited by 1,861
Subbiah, T., Bhat, G. S., Tock, R. W., Parameswaran, S., & Ramkumar, S. S. (2005) · Journal of Applied Polymer Science · doi:10.1002/app.21481 · Cited by 1,746
Metadata
- Authors
- Cho, Y., Baek, J. W., Sagong, M., Ahn, S., Nam, J. S., & Kim, I.
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2025-04-07
- Volume
- 37
- Issue
- 28
- Pages
- e2500162-e2500162
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W4409209794
- Cited by
- 334
- References
- 182
- FWCI
- 61.80
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Cho, Y., Baek, J. W., Sagong, M., Ahn, S., Nam, J. S., & Kim, I. (2025). Electrospinning and Nanofiber Technology: Fundamentals, Innovations, and Applications. Advanced Materials. https://doi.org/10.1002/adma.202500162
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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