Evidence map›Paper›PMID 38405510›Full record

ArticleACS omega2024

Flexible Monolithic Bifunctional Device Based on a Lift-off (In,Ga)N Film for Both Lighting and Self-Driven Detection.

Binbin Hou, Qianyi Zhang, Jianya Zhang, Renjun Pei, Yukun Zhao

Abstract read
In one paragraph

Article in ACS omega, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Binbin HouSchool of Nano-Tech and Nano-Bionics, University of Science and Technology of China, Hefei 230026, China.
Qianyi ZhangCAS Key Lab of Nanodevices and Applications, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), Suzhou 215123, China.
Jianya ZhangJiangsu Key Laboratory of Micro and Nano Heat Fluid Flow Technology and Energy Application, School of Physical Science and Technology, Suzhou University of Science and Technology, Suzhou 215009, China.
Renjun PeiSchool of Nano-Tech and Nano-Bionics, University of Science and Technology of China, Hefei 230026, China.ORCID https://orcid.org/0000-0002-9353-3935
Yukun ZhaoSchool of Nano-Tech and Nano-Bionics, University of Science and Technology of China, Hefei 230026, China.ORCID https://orcid.org/0000-0002-4071-4265

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although flexible monolithic bifunctional devices are significant for next-generation optoelectronic devices, it is quite challenging to realize them. In this work, a flexible monolithic device with both functions of emission and self-driven detection has been proposed and demonstrated successfully. By a quick electrochemical etching method, the device is created using a lift-off (In,Ga)N film detaching from the epitaxial silicon substrate. The Si removal is beneficial for releasing stress and reducing the internal polarization effects under bending conditions, keeping the electroluminescence peak wavelength quite stable. With good flexibility, the monolithic bifunctional device can maintain both stable detection and emission performance under bending conditions. Furthermore, two functions of detection and lighting of the flexible monolithic device can not only be realized separately but also simultaneously. This means that the flexible monolithic device can detect and emit light at the same time. With the advantages of miniaturization and multifunctionality, this work paves an effective way to develop new monolithic multifunctional devices for both self-driven detection and wearable intelligent display.

Identifiers

PMID38405510
PMCPMC10883012

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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.