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Cited by 366

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Topographically-Designed Triboelectric Nanogenerator via Block Copolymer Self-Assembly

Jeong, Chang Kyu, Baek, Kwang Min, Niu, Simiao, Nam, Tae Won, Hur, Yoon Hyung, Park, Dae Yong, Hwang, Geon-Tae, Byun, Myunghwan, Wang, Zhong Lin, Jung, Yeon Sik, Lee, Keon Jae·2014·Nano Letters

Abstract

Herein, we report a facile and robust route to nanoscale tunable triboelectric energy harvesters realized by the formation of highly functional and controllable nanostructures via block copolymer (BCP) self-assembly. Our strategy is based on the incorporation of various silica nanostructures derived from the self-assembly of BCPs to enhance the characteristics of triboelectric nanogenerators (TENGs) by modulating the contact-surface area and the frictional force. Our simulation data also confirm that the nanoarchitectured morphologies are effective for triboelectric generation.

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Metadata

Authors
Jeong, C. K., Baek, K. M., Niu, S., Nam, T. W., Hur, Y. H., Park, D. Y., Hwang, G.-T., Byun, M., Wang, Z. L., Jung, Y. S., & Lee, K. J.
Venue
Nano Letters
Published
2014-11-17
Volume
14
Issue
12
Pages
7031-7038
ISSN
  • 1530-6984 (ISSN-L)
  • 1530-6992
OpenAlex
W2327348607
Cited by
366
References
5
FWCI
17.71
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Topographically-Designed Triboelectric Nanogenerator via Block Copolymer Self-Assembly. https://app.cochat.ai/papers/10.1021/nl503402c
The paper
Jeong, C. K., Baek, K. M., Niu, S., Nam, T. W., Hur, Y. H., Park, D. Y., Hwang, G.-T., Byun, M., Wang, Z. L., Jung, Y. S., & Lee, K. J. (2014). Topographically-Designed Triboelectric Nanogenerator via Block Copolymer Self-Assembly. Nano Letters. https://doi.org/10.1021/nl503402c

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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.