Evidence map›Paper›PMID 29426938›Full record

ArticleScientific reports2018

Wavelength and pulse duration tunable ultrafast fiber laser mode-locked with carbon nanotubes.

Diao Li, Henri Jussila, Yadong Wang, Guohua Hu, Tom Albrow-Owen, Richard C T Howe, Zhaoyu Ren, Jintao Bai, Tawfique Hasan, Zhipei Sun

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

10 authors.

Diao LiState Key Lab Incubation Base of Photoelectric Technology and Functional Materials, and Institute of Photonics and Photon-Technology, Northwest University, 710069, Xi'an, China.
Henri JussilaDepartment of Electronics and Nanoengineering, Aalto University, Tietotie 3, FI-02150, Espoo, Finland.
Yadong WangDepartment of Electronics and Nanoengineering, Aalto University, Tietotie 3, FI-02150, Espoo, Finland.
Guohua HuCambridge Graphene Centre, University of Cambridge, 9 JJ Thomson Avenue, CB3 0FA, Cambridge, UK.
Tom Albrow-OwenCambridge Graphene Centre, University of Cambridge, 9 JJ Thomson Avenue, CB3 0FA, Cambridge, UK.
Richard C T HoweCambridge Graphene Centre, University of Cambridge, 9 JJ Thomson Avenue, CB3 0FA, Cambridge, UK.ORCID 0000-0001-5086-0699
Zhaoyu RenState Key Lab Incubation Base of Photoelectric Technology and Functional Materials, and Institute of Photonics and Photon-Technology, Northwest University, 710069, Xi'an, China.
Jintao BaiState Key Lab Incubation Base of Photoelectric Technology and Functional Materials, and Institute of Photonics and Photon-Technology, Northwest University, 710069, Xi'an, China.
Tawfique HasanCambridge Graphene Centre, University of Cambridge, 9 JJ Thomson Avenue, CB3 0FA, Cambridge, UK. th270@cam.ac.uk.
Zhipei SunDepartment of Electronics and Nanoengineering, Aalto University, Tietotie 3, FI-02150, Espoo, Finland. Zhipei.sun@aalto.fi.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ultrafast lasers with tunable parameters in wavelength and time domains are the choice of light source for various applications such as spectroscopy and communication. Here, we report a wavelength and pulse-duration tunable mode-locked Erbium doped fiber laser with single wall carbon nanotube-based saturable absorber. An intra-cavity tunable filter is employed to continuously tune the output wavelength for 34 nm (from 1525 nm to 1559 nm) and pulse duration from 545 fs to 6.1 ps, respectively. Our results provide a novel light source for various applications requiring variable wavelength or pulse duration.

Identifiers

PMID29426938
PMCPMC5807438

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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.