Evidence map›Paper›PMID 36782105›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2023

Self-Powered Smart Textile Based on Dynamic Schottky Diode for Human-Machine Interactions.

Pengfei Deng, Yanbin Wang, Ruizhe Yang, Zijian He, Yuanqiu Tan, Zhihong Chen, Jun Liu, Tian Li

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Tribovoltaic Effect: Origin, Interface, Characteristic, Mechanism & Application.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Review
  5. Self-Powered Smart Textile Based on Dynamic Schottky Diode for Human-Machine Interactions.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    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

8 authors.

Pengfei DengSchool of Mechanical Engineering, Purdue University, West Lafayette, IN, 47907, USA.ORCID https://orcid.org/0000-0001-8497-8871
Yanbin WangSchool of Mechanical Engineering, Purdue University, West Lafayette, IN, 47907, USA.
Ruizhe YangDepartment of Mechanical and Aerospace Engineering, University at Buffalo, The State University of New York, Buffalo, NY, 14260, USA.
Zijian HeSchool of Mechanical Engineering, Purdue University, West Lafayette, IN, 47907, USA.
Yuanqiu TanElmore Family School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, 47907, USA.
Zhihong ChenElmore Family School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, 47907, USA.
Jun LiuDepartment of Mechanical and Aerospace Engineering, University at Buffalo, The State University of New York, Buffalo, NY, 14260, USA.ORCID https://orcid.org/0000-0001-6951-8826
Tian LiSchool of Mechanical Engineering, Purdue University, West Lafayette, IN, 47907, USA.ORCID https://orcid.org/0000-0002-1087-0662

Funding

David and Lucile Packard FoundationStart-up Funding from Mechanical Engineering at Purdue University
6 · The paper itself

Abstract

The growing demand for sustained self-powered devices with multifunctional sensing networks is one of the main challenges for smart textiles, which are the critical elements for the future Internet of Things (IoT) and Point of Care (POC). Here, cellulose-based smart textile is integrated with dynamic Schottky diode (DSD) to generate sustained power source (current density of 8.9 mA m⁻

Indexed as

biaxial detectiondynamic Schottky diodesself-poweredsensing networksmart textile

Identifiers

PMID36782105
PMCPMC10104626

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.