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Cited by 256

The DOI matches its Crossref record; 61 of the 61 references it cites were found in a registry or an index.

Ferroelectric Polymers and Their Energy‐Related Applications

Li, Qi, Wang, Qing·2016·Macromolecular Chemistry and Physics

Abstract

The discovery of ferroelectric phenomenon in polymers in early 1970s has aroused tremendous research interests in these soft materials with intriguing physical properties, and led to a broad range of applications. Since then the understanding of physical origin of ferroelectricity in these macromolecules has been fast deepened by virtue of the rapid development of ferroelectric polymer science, which in turn has enabled better design of ferroelectric polymers with improved performance. Over the last two decades, as boosted by the increasing demand for advanced energy technologies, great progress has been made in understanding and developing new ferroelectric polymers toward energy‐related applications. This trend article summarizes the important aspects and recent advances in the research area of ferroelectric polymers, covering from understanding of material fundamentals, through synthesis and processing techniques, to applications in energy conversion and storage. image

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Metadata

Authors
Li, Q., & Wang, Q.
Venue
Macromolecular Chemistry and Physics
Publisher
Wiley
Published
2016-03-08
Volume
217
Issue
11
Pages
1228-1244
ISSN
  • 1022-1352 (ISSN-L)
  • 1521-3935
OpenAlex
W2292973272
Cited by
256
References
61
FWCI
12.92
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Ferroelectric Polymers and Their Energy‐Related Applications. https://app.cochat.ai/papers/10.1002/macp.201500503
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Li, Q., & Wang, Q. (2016). Ferroelectric Polymers and Their Energy‐Related Applications. Macromolecular Chemistry and Physics. https://doi.org/10.1002/macp.201500503

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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.