Evidence map›Paper›PMID 39635618›Full record

ArticleNanophotonics (Berlin, Germany)2024

Photoelectric tunable-step terahertz detectors: a study on optimal antenna parameters, speed, and temperature performance.

Ran Chen, Ruqiao Xia, Jonathan Griffiths, Harvey E Beere, David A Ritchie, Wladislaw Michailow

Abstract read
In one paragraph

Article in Nanophotonics (Berlin, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Infrared and terahertz quantum technologies.Nanophotonics (Berlin, Germany) · 2024
    Article
  3. Article
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

6 authors.

Ran ChenCavendish Laboratory, University of Cambridge, CB3 0HE Cambridge, UK.
Ruqiao XiaCavendish Laboratory, University of Cambridge, CB3 0HE Cambridge, UK.
Jonathan GriffithsCavendish Laboratory, University of Cambridge, CB3 0HE Cambridge, UK.
Harvey E BeereCavendish Laboratory, University of Cambridge, CB3 0HE Cambridge, UK.
David A RitchieCavendish Laboratory, University of Cambridge, CB3 0HE Cambridge, UK.
Wladislaw MichailowCavendish Laboratory, University of Cambridge, CB3 0HE Cambridge, UK.ORCID https://orcid.org/0000-0002-2573-9448

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Field effect transistors have shown promising performance as terahertz (THz) detectors over the past few decades. Recently, a quantum phenomenon, the in-plane photoelectric effect, was discovered as a novel detection mechanism in gated two-dimensional electron gases (2DEGs), and devices based on this effect, photoelectric tunable-step (PETS) THz detectors, have been proposed as sensitive THz detectors. Here, we demonstrate a PETS THz detector based on GaAs/AlGaAs heterojunction using a dipole antenna. We investigate the dependence of the in-plane photoelectric effect on parameters including the dimensions and the operating temperature of the device. Two figures of merit within the 2DEG, the maximum electric field and the radiation-induced ac-potential difference, are simulated to determine the optimal design of the PETS detector antenna. We identify the optimal antenna gap size, metal thickness, and 2DEG depth, and demonstrate the first PETS detector with a symmetric dipole antenna, which shows high-speed detection of 1.9 THz radiation with a strong photoresponse. Our findings deepen the understanding of the in-plane photoelectric effect and provide a universal guidance for the design of future PETS THz detectors.

Indexed as

far-infrared detectionin-plane photoelectric effectphotoelectric tunable-step detectortwo-dimensional electron gas

Identifiers

PMID39635618
PMCPMC11501986

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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.