Evidence map›Paper›PMID 42317566›Full record

ArticleNature electronics2025

Capillary Flow Printing of Submicron Carbon Nanotube Transistors.

Brittany N Smith, Faris M Albarghouthi, James L Doherty, Xuancheng Pei, Quentin Macfarlane, Matthew Salfity, Daniel Badia, Marc Pascual, Pascal Boncenne, Nathan Bigan and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature electronics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

12 authors.

Brittany N SmithElectrical and Computer Engineering Department, Duke University, Durham, NC 27708, USA.
Faris M AlbarghouthiElectrical and Computer Engineering Department, Duke University, Durham, NC 27708, USA.
James L DohertyElectrical and Computer Engineering Department, Duke University, Durham, NC 27708, USA.
Xuancheng PeiElectrical and Computer Engineering Department, Duke University, Durham, NC 27708, USA.
Quentin MacfarlaneElectrical and Computer Engineering Department, Duke University, Durham, NC 27708, USA.
Matthew SalfityElectrical and Computer Engineering Department, Duke University, Durham, NC 27708, USA.
Daniel BadiaElectrical and Computer Engineering Department, Duke University, Durham, NC 27708, USA.
Marc PascualHummink Inc, 75003 Paris, France.
Pascal BoncenneHummink Inc, 75003 Paris, France.
Nathan BiganHummink Inc, 75003 Paris, France.
Amin M'BarkiHummink Inc, 75003 Paris, France.
Aaron D FranklinElectrical and Computer Engineering Department, Duke University, Durham, NC 27708, USA.

Funding

Printed Electronic Biosensors for Point-of-Care Testing of Cardiovascular BiomarkersR01HL146849 · NHLBI · DUKE UNIVERSITY · PI FRANKLIN, AARON · 2019 to 2023
$2.6M
NHLBI NIH HHS R01 HL146849
6 · The paper itself

Abstract

Printed transistors have a wide range of applications, but the limited resolution of printing techniques (10-30 μm) has been a barrier to their utility and scalability. Previous works have relied on chemical processes or tedious post-processing to realize printed submicron channel lengths, limiting their applicability. Here, we show that capillary flow printing can create as-printed submicron carbon nanotube thin-film transistors (CNT-TFTs) without chemical modification or physical manipulation post-printing. We show that the approach can be used to print conducting, semiconducting, and insulating inks on different types of substrates (silicon, Kapton, and paper), and can be used to fabricate various TFT device architectures. Printed CNT-TFTs yielded on-currents of 1.12 mA/mm when back gated on Si/SiO

Identifiers

PMID42317566
PMCPMC13274701

What OpenQuestion holds

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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.