Evidence map›Paper›PMID 34035272›Full record

ArticleNature communications2021

Highly-efficient electrically-driven localized surface plasmon source enabled by resonant inelastic electron tunneling.

Haoliang Qian, Shilong Li, Su-Wen Hsu, Ching-Fu Chen, Fanglin Tian, Andrea R Tao, Zhaowei Liu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

7 authors.

Haoliang Qian *Department of Electrical and Computer Engineering, University of California, San Diego, 9500 Gilman Dr, La Jolla, CA, USA.ORCID http://orcid.org/0000-0003-4200-9479
Shilong Li *Department of Electrical and Computer Engineering, University of California, San Diego, 9500 Gilman Dr, La Jolla, CA, USA.
Su-Wen Hsu *Department of NanoEngineering, University of California, San Diego, 9500 Gilman Dr, La Jolla, CA, USA.ORCID http://orcid.org/0000-0001-6553-3201
Ching-Fu ChenDepartment of Electrical and Computer Engineering, University of California, San Diego, 9500 Gilman Dr, La Jolla, CA, USA.
Fanglin TianDepartment of Electrical and Computer Engineering, University of California, San Diego, 9500 Gilman Dr, La Jolla, CA, USA.
Andrea R TaoDepartment of NanoEngineering, University of California, San Diego, 9500 Gilman Dr, La Jolla, CA, USA.
Zhaowei LiuDepartment of Electrical and Computer Engineering, University of California, San Diego, 9500 Gilman Dr, La Jolla, CA, USA. zhaowei@ucsd.edu.ORCID http://orcid.org/0000-0002-5732-8109

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

On-chip plasmonic circuitry offers a promising route to meet the ever-increasing requirement for device density and data bandwidth in information processing. As the key building block, electrically-driven nanoscale plasmonic sources such as nanoLEDs, nanolasers, and nanojunctions have attracted intense interest in recent years. Among them, surface plasmon (SP) sources based on inelastic electron tunneling (IET) have been demonstrated as an appealing candidate owing to the ultrafast quantum-mechanical tunneling response and great tunability. However, the major barrier to the demonstrated IET-based SP sources is their low SP excitation efficiency due to the fact that elastic tunneling of electrons is much more efficient than inelastic tunneling. Here, we remove this barrier by introducing resonant inelastic electron tunneling (RIET)-follow a recent theoretical proposal-at the visible/near-infrared (NIR) frequencies and demonstrate highly-efficient electrically-driven SP sources. In our system, RIET is supported by a TiN/Al

Identifiers

PMID34035272
PMCPMC8149681

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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.