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Material choices for triboelectric nanogenerators: A critical review
Open accessAbstract
A triboelectric nanogenerator (TENG) is a novel technology with applications in many areas, including energy harvesting, self‐powered sensing, medication, and electronics. The materials used as triboelectric layers are diverse and include polymers, metals, and inorganic materials. The most commonly used materials are dielectric polymers such as PTFE, FEP, PDMS, and Kapton. Green materials, such as cellulose‐based materials, have recently gained increasing interest, and the performance of TENGs using cellulose materials has improved. The material choices are of great importance for TENGs since the triboelectric effects of the materials are fundamental for TENGs. To design a TENG for a particular application, several parameters need to be considered, such as power density, stability, flexibility, and sustainability. This critical review will summarize and evaluate the material choices for TENGs in different applications. image
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Triboelectric Nanogenerator Tree for Harvesting Wind Energy and Illuminating in Subway Tunnel
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Highly reliable wind-rolling triboelectric nanogenerator operating in a wide wind speed range
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Self-powered Real-time Movement Monitoring Sensor Using Triboelectric Nanogenerator Technology
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A leaf-molded transparent triboelectric nanogenerator for smart multifunctional applications
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Smart Floor with Integrated Triboelectric Nanogenerator As Energy Harvester and Motion Sensor
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Lignin biopolymer based triboelectric nanogenerators
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Natural Biopolymer-Based Triboelectric Nanogenerators via Fast, Facile, Scalable Solution Blowing
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Self-citationSingle-friction-surface triboelectric generator with human body conduit
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Upper limits for output performance of contact-mode triboelectric nanogenerator systems
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End-to-end design of wearable sensors
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Metadata
- Authors
- Zhang, R., & Olin, H.
- Venue
- EcoMat
- Publisher
- Wiley
- Published
- 2020-10-27
- Volume
- 2
- Issue
- 4
- ISSN
- 2567-3173 (ISSN-L)
- OpenAlex
- W3096590083
- Cited by
- 533
- References
- 135
- FWCI
- 13.71
- Type
- journal article
- Language
- en
- Open access
- gold
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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Data sources
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.