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Cited by 258

The DOI matches its Crossref record; 123 of the 123 references it cites were found in a registry or an index.

Advanced Polymer Designs for Direct‐Ink‐Write 3D Printing

Li, Longyu, Lin, Qianming, Tang, Miao, Duncan, Andrew J. E., Ke, Chenfeng·2019·Chemistry – A European Journal

Abstract

The rapid development of additive manufacturing techniques, also known as three‐dimensional (3D) printing, is driving innovations in polymer chemistry, materials science, and engineering. Among current 3D printing techniques, direct ink writing (DIW) employs viscoelastic materials as inks, which are capable of constructing sophisticated 3D architectures at ambient conditions. In this perspective, polymer designs that meet the rheological requirements for direct ink writing are outlined and successful examples are summarized, which include the development of polymer micelles, co‐assembled hydrogels, supramolecularly cross‐linked systems, polymer liquids with microcrystalline domains, and hydrogels with dynamic covalent cross‐links. Furthermore, advanced polymer designs that reinforce the mechanical properties of these 3D printing materials, as well as the integration of functional moieties to these materials are discussed to inspire new polymer designs for direct ink writing and broadly 3D printing.

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Crossref · 10.1002/chem.201900975

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Metadata

Authors
Li, L., Lin, Q., Tang, M., Duncan, A. J. E., & Ke, C.
Venue
Chemistry – A European Journal
Publisher
Wiley
Published
2019-07-03
Volume
25
Issue
46
Pages
10768-10781
ISSN
  • 0947-6539 (ISSN-L)
  • 1521-3765
OpenAlex
W2945140164
Cited by
258
References
123
FWCI
12.82
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Advanced Polymer Designs for Direct‐Ink‐Write 3D Printing. https://app.cochat.ai/papers/10.1002/chem.201900975
The paper
Li, L., Lin, Q., Tang, M., Duncan, A. J. E., & Ke, C. (2019). Advanced Polymer Designs for Direct‐Ink‐Write 3D Printing. Chemistry – A European Journal. https://doi.org/10.1002/chem.201900975

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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.