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Cited by 999

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Organic Thermoelectric Materials: Emerging Green Energy Materials Converting Heat to Electricity Directly and Efficiently

Zhang, Qian, Sun, Yimeng, Xu, Wei, Zhu, Daoben·2014·Advanced Materials

Abstract

The abundance of solar thermal energy and the widespread demands for waste heat recovery make thermoelectric generators (TEGs) very attractive in harvesting low‐cost energy resources. Meanwhile, thermoelectric refrigeration is promising for local cooling and niche applications. In this context there is currently a growing interest in developing organic thermoelectric materials which are flexible, cost‐effective, eco‐friendly and potentially energy‐efficient. In particular, the past several years have witnessed remarkable progress in organic thermoelectric materials and devices. In this review, thermoelectric properties of conducting polymers and small molecules are summarized, with recent progresses in materials, measurements and devices highlighted. Prospects and suggestions for future research efforts are also presented. The organic thermoelectric materials are emerging candidates for green energy conversion.

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Crossref · 10.1002/adma.201305371

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Metadata

Authors
Zhang, Q., Sun, Y., Xu, W., & Zhu, D.
Venue
Advanced Materials
Publisher
Wiley
Published
2014-03-31
Volume
26
Issue
40
Pages
6829-6851
ISSN
  • 0935-9648 (ISSN-L)
  • 1521-4095
OpenAlex
W2164806831
Cited by
999
References
1
FWCI
32.31
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Organic Thermoelectric Materials: Emerging Green Energy Materials Converting Heat to Electricity Directly and Efficiently. https://app.cochat.ai/papers/10.1002/adma.201305371
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Zhang, Q., Sun, Y., Xu, W., & Zhu, D. (2014). Organic Thermoelectric Materials: Emerging Green Energy Materials Converting Heat to Electricity Directly and Efficiently. Advanced Materials. https://doi.org/10.1002/adma.201305371

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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.