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Cited by 522

The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.

Inorganic nanomaterials for printed electronics: a review

Wu, Wei·2017·Nanoscale

Abstract

Owing to their capability of bypassing conventional high-priced and inflexible silicon based electronics to manufacture a variety of devices on flexible substrates by using large-scale and high-volume printing techniques, printed electronics (PE) have attracted increasing attention in the field of manufacturing industry for electronic devices. This simple and cost-effective approach could enhance current methods of constructing a patterned surface for nanomaterials and offer opportunities for developing fully-printed functional devices, especially offering the possibility of ubiquitous low-cost and flexible devices. This review presents a summary of work to date on the inorganic nanomaterials involved in PE applications, focused on the utilization of inorganic nanomaterials-based inks in the successful preparation of printed conductive patterns, electrodes, sensors, thin film transistors (TFTs) and other micro-/nanoscale devices. The printing techniques, sintering methods and printability of functional inks with their associated challenges are discussed, and we look forward so you can glimpse the future of PE applications.

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Crossref · 10.1039/c7nr01604b

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Metadata

Authors
Wu, W.
Venue
Nanoscale
Published
2017
Volume
9
Issue
22
Pages
7342-7372
ISSN
  • 2040-3364 (ISSN-L)
  • 2040-3372
OpenAlex
W2615549432
Cited by
522
References
13
FWCI
23.49
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Inorganic nanomaterials for printed electronics: a review. https://app.cochat.ai/papers/10.1039/c7nr01604b
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Wu, W. (2017). Inorganic nanomaterials for printed electronics: a review. Nanoscale. https://doi.org/10.1039/c7nr01604b

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.