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Cited by 312

The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.

Digital logic for soft devices

Open access
Preston, Daniel J., Rothemund, Philipp, Jiang, Haihui Joy, Nemitz, Markus P., Rawson, Jeff, Suo, Zhigang, Whitesides, George M.·2019·Proceedings of the National Academy of Sciences

Abstract

Significance: Soft devices offer many useful characteristics, including safe operation in close proximity to humans, the ability to adapt to their surroundings, ease of sterilization, simplicity, low cost, and light weight. Current soft devices, however, are still actuated by hard valves and electronic controls, and reliance on these components limits the use of soft devices in applications where hard structures or electronics are not compatible. This work demonstrates completely soft digital logic gates that can be integrated into soft devices and that allow computation and control within these devices, without hard valves or electronics. We demonstrate data storage, signal processing, digital-to-analog conversion, environmental sensing, and collaborative interaction between humans and soft devices.

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Registry

Crossref · 10.1073/pnas.1820672116

Cites

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Metadata

Authors
Preston, D. J., Rothemund, P., Jiang, H. J., Nemitz, M. P., Rawson, J., Suo, Z., & Whitesides, G. M.
Venue
Proceedings of the National Academy of Sciences
Published
2019-03-28
Volume
116
Issue
16
Pages
7750-7759
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2924252827
Cited by
312
References
45
FWCI
9.62
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Digital logic for soft devices. https://app.cochat.ai/papers/10.1073/pnas.1820672116
The paper
Preston, D. J., Rothemund, P., Jiang, H. J., Nemitz, M. P., Rawson, J., Suo, Z., & Whitesides, G. M. (2019). Digital logic for soft devices. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1820672116

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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.