Evidence map›Paper›PMID 36548931›Full record

ArticleACS applied materials & interfaces2023

Highly Sensitive, Stretchable, and Robust Strain Sensor Based on Crack Propagation and Opening.

Shuang Wu, Katherine Moody, Abhiroop Kollipara, Yong Zhu

Abstract read
In one paragraph

Article in ACS applied materials & interfaces, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
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  4. Review
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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

4 authors.

Shuang WuDepartment of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, North Carolina27695, United States.ORCID 0000-0003-2579-9309
Katherine MoodyDepartment of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, North Carolina27695, United States.
Abhiroop KolliparaDepartment of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, North Carolina27695, United States.
Yong ZhuDepartment of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, North Carolina27695, United States.ORCID 0000-0002-3862-5757

Funding

SCH: A personalized wearable rehabilitation sensing system for stroke survivorsR01HD108473 · NICHD · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI BARATTA, JOHN, BOZKURT, ALPER · 2021 to 2024
$1.1M
NICHD NIH HHS R01 HD108473
6 · The paper itself

Abstract

Soft and stretchable strain sensors have been attracting significant attention. However, the trade-off between the sensitivity (gauge factor) and the sensing range has been a major challenge. In this work, we report a soft stretchable resistive strain sensor with an unusual combination of high sensitivity, large sensing range, and high robustness. The sensor is made of a silver nanowire network embedded below the surface of an elastomeric matrix (e.g., poly(dimethylsiloxane)). Periodic mechanical cuts are applied to the top surface of the sensor, changing the current flow from uniformly across the sensor to along the conducting path defined by the open cracks. Both experiment and finite element analysis are conducted to study the effect of the slit depth, slit length, and pitch between the slits. The stretchable strain sensor can be integrated into wearable systems for monitoring physiological functions and body motions associated with different levels of strain, such as blood pressure and lower back health. Finally, a soft three-dimensional (3D) touch sensor that tracks both normal and shear stresses is developed for human-machine interfaces and tactile sensing for robotics.

Indexed as

crackhealth monitoringhuman−machine interfacesilver nanowiresstrain sensorstretchable electronics

Identifiers

PMID36548931
PMCPMC10403976

What OpenQuestion holds

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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.