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Cited by 254

The DOI matches its Crossref record; 270 of the 270 references it cites were found in a registry or an index.

A Brief Review of Stimulus-active Polymers Responsive to Thermal, Light, Magnetic, Electric, and Water/Solvent Stimuli

Meng, Harper, Jinlian Hu·2010·Journal of Intelligent Material Systems and Structures

Abstract

Stimulus-active polymers can vary their shapes (configuration or dimension) or produce mechanical power in response to external stimuli such as heat, electricity, light, magnetic field, and water. In the past decade, many breakthroughs have been made in developing stimulus-active polymers with novel stimulus-active mechanisms. With proper designing, complicated movements such as swimming, inchworm walking, rotation, and bending can be achieved. Stimulus-active polymers can be applied in a wide range of areas from hi-tech areas to daily life. A few papers have been written on specific type of stimulus-active polymers, but have not covered all stimulus-active polymers. Hence, this article aims to present a brief overview of the different mechanisms and fabrication strategies of typical stimulus-active polymers. The various applications of different stimulus-active polymers are also briefly summarized in the article.

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Metadata

Authors
Meng, H., & Hu, J.
Venue
Journal of Intelligent Material Systems and Structures
Published
2010-05-28
Volume
21
Issue
9
Pages
859-885
ISSN
  • 1045-389X (ISSN-L)
  • 1530-8138
OpenAlex
W2024958283
Cited by
254
References
270
FWCI
37.11
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A Brief Review of Stimulus-active Polymers Responsive to Thermal, Light, Magnetic, Electric, and Water/Solvent Stimuli. https://app.cochat.ai/papers/10.1177/1045389x10369718
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Meng, H., & Hu, J. (2010). A Brief Review of Stimulus-active Polymers Responsive to Thermal, Light, Magnetic, Electric, and Water/Solvent Stimuli. Journal of Intelligent Material Systems and Structures. https://doi.org/10.1177/1045389x10369718

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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.