Evidence map›Paper›PMID 39365852›Full record

ArticleScience advances2024

Additively manufactured micro-lattice dielectrics for multiaxial capacitive sensors.

Arielle Berman, Kaiwen Hsiao, Samuel E Root, Hojung Choi, Daniel Ilyn, Chengyi Xu, Emily Stein, Mark Cutkosky, Joseph M DeSimone, Zhenan Bao

Abstract read
In one paragraph

Article in Science advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Article
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  13. Fully 3D-Printed Soft Capacitive Sensor of High Toughness and Large Measurement Range.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Arielle BermanDepartment of Mechanical Engineering, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0001-7121-9083
Kaiwen HsiaoDepartment of Materials Science and Engineering, Texas A&M University, College Station, TX 77840, USA.ORCID 0000-0002-9585-0002
Samuel E RootDepartment of Chemical Engineering, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0002-9854-5484
Hojung ChoiDepartment of Mechanical Engineering, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0001-7112-1027
Daniel IlynDepartment of Mechanical Engineering, Stanford University, Stanford, CA 94305, USA.
Chengyi XuDepartment of Chemical Engineering, Stanford University, Stanford, CA 94305, USA.
Emily SteinDepartment of Materials Science and Engineering, Stanford University, Stanford, CA 94305, USA.
Mark CutkoskyDepartment of Mechanical Engineering, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0003-4730-0900
Joseph M DeSimoneDepartment of Chemical Engineering, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0002-1764-8634
Zhenan BaoDepartment of Chemical Engineering, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0002-0972-1715

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soft sensors that can perceive multiaxial forces, such as normal and shear, are of interest for dexterous robotic manipulation and monitoring of human performance. Typical planar fabrication techniques have substantial design constraints that often prohibit the creation of functionally compelling and complex architectures. Moreover, they often require multiple-step operations for production. Here, we use an additive manufacturing process based on continuous liquid interface production to create high-resolution (30-micrometer) three-dimensional elastomeric polyurethane lattices for use as dielectric layers in capacitive sensors. We show that the capacitive responses and sensitivities are highly tunable through designs of lattice type, thickness, and material-void volume percentage. Microcomputed tomography and finite element simulation are used to elucidate the influence of lattice design on the deformation mechanism and concomitant sensing behavior. The advantage of three-dimensional printing is exhibited with examples of fully printed representative athletic equipment with integrated sensors.

Identifiers

PMID39365852
PMCPMC11451511

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.