Evidence map›Paper›PMID 41597919›Full record

ArticleMicromachines2026

Flexible Mesh-Structured Single-Walled Carbon Nanotube Thermoelectric Generators with Enhanced Heat Dissipation for Wearable Applications.

Hiroto Nakayama, Takuya Amezawa, Yuta Asano, Shuya Ochiai, Keisuke Uchida, Yuto Nakazawa, Masayuki Takashiri

Abstract read
In one paragraph

Article in Micromachines, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

7 authors.

Hiroto NakayamaDepartment of Materials Science, Tokai University, Hiratsuka 259-1292, Kanagawa, Japan.
Takuya AmezawaDepartment of Materials Science, Tokai University, Hiratsuka 259-1292, Kanagawa, Japan.
Yuta AsanoDepartment of Applied Chemistry, Tokai University, Hiratsuka 259-1292, Kanagawa, Japan.
Shuya OchiaiDepartment of Materials Science, Tokai University, Hiratsuka 259-1292, Kanagawa, Japan.
Keisuke UchidaDepartment of Materials Science, Tokai University, Hiratsuka 259-1292, Kanagawa, Japan.
Yuto NakazawaDepartment of Materials Science, Tokai University, Hiratsuka 259-1292, Kanagawa, Japan.
Masayuki TakashiriDepartment of Materials Science, Tokai University, Hiratsuka 259-1292, Kanagawa, Japan.ORCID 0000-0001-7041-6595

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thermoelectric generators (TEGs) based on single-walled carbon nanotubes (SWCNTs) offer a promising approach for powering sensors in wearable systems. However, achieving high performance remains challenging because the high thermal conductivity of SWCNTs limits the temperature gradient within the device. We previously developed flexible SWCNT-TEGs with enhanced heat dissipation by dip-coating SWCNTs onto mesh sheets; however, their performance in real wearable environments had not been evaluated. In this study, we demonstrate the practical operation of these SWCNT-TEGs under conditions such as fingertip contact and cap-based wear. The output voltage increased proportionally with the number of fingers touching the device, and a stable voltage of 6.1 mV was obtained when the TEG was mounted on a cap and worn outdoors at 7 °C. These findings highlight the promising potential of flexible SWCNT-TEGs as power sources for next-generation wearable technologies, including human-computer interaction and health monitoring.

Indexed as

dip-coated single-walled carbon nanotubes (SWCNTs)heat dissipationmesh sheetsthermoelectric generatorwearable sensors

Identifiers

PMID41597919
PMCPMC12843747

What OpenQuestion holds

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LicenceCC BY
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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.