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Understanding contact electrification at liquid–solid interfaces from surface electronic structure

Open access
Sun, Mingzi, Lu, Qiuyang, Wang, Zhong Lin, Huang, Bolong·2021·Nature Communications

Abstract

The charge transfer phenomenon of contact electrification even exists in the liquid–solid interface by a tiny droplet on the solid surface. In this work, we have investigated the contact electrification mechanism at the liquid–solid interface from the electronic structures at the atomic level. The electronic structures display stronger modulations by the outmost shell charge transfer via surface electrostatic charge perturbation than the inter-bonding-orbital charge transfer at the liquid–solid interface, supporting more factors being involved in charge transfer via contact electrification. Meanwhile, we introduce the electrochemical cell model to quantify the charge transfer based on the pinning factor to linearly correlate the charge transfer and the electronic structures. The pinning factor exhibits a more direct visualization of the charge transfer at the liquid–solid interface. This work supplies critical guidance for describing, quantifying, and modulating the contact electrification induced charge transfer systems in triboelectric nanogenerators in future works.

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Metadata

Authors
Sun, M., Lu, Q., Wang, Z. L., & Huang, B.
Venue
Nature Communications
Published
2021-03-19
Volume
12
Issue
1
Pages
1752-1752
ISSN
2041-1723 (ISSN-L)
OpenAlex
W3137212393
Cited by
159
References
3
FWCI
6.65
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Understanding contact electrification at liquid–solid interfaces from surface electronic structure. https://app.cochat.ai/papers/10.1038/s41467-021-22005-6
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Sun, M., Lu, Q., Wang, Z. L., & Huang, B. (2021). Understanding contact electrification at liquid–solid interfaces from surface electronic structure. Nature Communications. https://doi.org/10.1038/s41467-021-22005-6

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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.