Evidence map›Paper›PMID 35668130›Full record

ArticleNature communications2022

Nonlinear co-generation of graphene plasmons for optoelectronic logic operations.

Yiwei Li, Ning An, Zheyi Lu, Yuchen Wang, Bing Chang, Teng Tan, Xuhan Guo, Xizhen Xu, Jun He, Handing Xia and 6 more

Abstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

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  15. Strained Monolayer MoTeNanomaterials (Basel, Switzerland) · 2023
    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

16 authors.

Yiwei Li *Key Laboratory of Optical Fibre Sensing and Communications (Education Ministry of China), University of Electronic Science and Technology of China, Chengdu, China.
Ning An *Key Laboratory of Optical Fibre Sensing and Communications (Education Ministry of China), University of Electronic Science and Technology of China, Chengdu, China.
Zheyi Lu *Key Laboratory for Micro-Nano Optoelectronic Devices (Education Ministry of China), School of Physics and Electronics, Hunan University, Changsha, China.
Yuchen WangKey Laboratory of Optical Fibre Sensing and Communications (Education Ministry of China), University of Electronic Science and Technology of China, Chengdu, China.
Bing ChangKey Laboratory of Optical Fibre Sensing and Communications (Education Ministry of China), University of Electronic Science and Technology of China, Chengdu, China.
Teng TanKey Laboratory of Optical Fibre Sensing and Communications (Education Ministry of China), University of Electronic Science and Technology of China, Chengdu, China.ORCID http://orcid.org/0000-0003-1820-3618
Xuhan GuoState Key Laboratory of Advanced Optical Communication Systems and Networks, Shanghai Jiao Tong University, Shanghai, China.
Xizhen XuGuangdong and Hong Kong Joint Research Center for Optical Fiber Sensors, Shenzhen University, Shenzhen, China.
Jun HeGuangdong and Hong Kong Joint Research Center for Optical Fiber Sensors, Shenzhen University, Shenzhen, China.
Handing XiaResearch Center of Laser Fusion, China Academic of Engineering Physics, 621900, Mianyang, China.
Zhaohui WuResearch Center of Laser Fusion, China Academic of Engineering Physics, 621900, Mianyang, China.
Yikai SuState Key Laboratory of Advanced Optical Communication Systems and Networks, Shanghai Jiao Tong University, Shanghai, China.ORCID http://orcid.org/0000-0002-1526-8187
Yuan LiuKey Laboratory for Micro-Nano Optoelectronic Devices (Education Ministry of China), School of Physics and Electronics, Hunan University, Changsha, China. yuanliuhnu@hnu.edu.cn.ORCID http://orcid.org/0000-0002-0024-9290
Yunjiang RaoKey Laboratory of Optical Fibre Sensing and Communications (Education Ministry of China), University of Electronic Science and Technology of China, Chengdu, China. yjrao@uestc.edu.cn.ORCID http://orcid.org/0000-0003-0717-5586
Giancarlo SoaviInstitute of Solid State Physics, Friedrich Schiller University Jena, Jena, Germany. giancarlo.soavi@uni-jena.de.ORCID http://orcid.org/0000-0003-2434-2251
Baicheng YaoKey Laboratory of Optical Fibre Sensing and Communications (Education Ministry of China), University of Electronic Science and Technology of China, Chengdu, China. yaobaicheng@uestc.edu.cn.ORCID http://orcid.org/0000-0001-8368-5815

Funding

National Natural Science Foundation of China (National Science Foundation of China) 51991340National Natural Science Foundation of China (National Science Foundation of China) 61975025National Science Foundation of China | NSAF Joint Fund U2130106
6 · The paper itself

Abstract

Surface plasmons in graphene provide a compelling strategy for advanced photonic technologies thanks to their tight confinement, fast response and tunability. Recent advances in the field of all-optical generation of graphene's plasmons in planar waveguides offer a promising method for high-speed signal processing in nanoscale integrated optoelectronic devices. Here, we use two counter propagating frequency combs with temporally synchronized pulses to demonstrate deterministic all-optical generation and electrical control of multiple plasmon polaritons, excited via difference frequency generation (DFG). Electrical tuning of a hybrid graphene-fibre device offers a precise control over the DFG phase-matching, leading to tunable responses of the graphene's plasmons at different frequencies across a broadband (0 ~ 50 THz) and provides a powerful tool for high-speed logic operations. Our results offer insights for plasmonics on hybrid photonic devices based on layered materials and pave the way to high-speed integrated optoelectronic computing circuits.

Identifiers

PMID35668130
PMCPMC9170737

What OpenQuestion holds

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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.