Evidence map›Paper›PMID 33638762›Full record

ArticleNanoscale research letters2021

A Dual Four-Quadrant Photodetector Based on Near-Infrared Enhanced Nanometer Black Silicon.

Guanyu Mi, Jian Lv, Longcheng Que, Yi Zhang, Yun Zhou, Zhongyuan Liu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nanoscale research letters, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Guanyu MiState Key Laboratory of Electronic Thin Film and Integrated Devices, University of Electronic Science and Technology of China, Cheng du, 610054, China.
Jian LvState Key Laboratory of Electronic Thin Film and Integrated Devices, University of Electronic Science and Technology of China, Cheng du, 610054, China.
Longcheng QueState Key Laboratory of Electronic Thin Film and Integrated Devices, University of Electronic Science and Technology of China, Cheng du, 610054, China. lcque@uestc.edu.cn.
Yi ZhangState Key Laboratory of Electronic Thin Film and Integrated Devices, University of Electronic Science and Technology of China, Cheng du, 610054, China.
Yun ZhouState Key Laboratory of Electronic Thin Film and Integrated Devices, University of Electronic Science and Technology of China, Cheng du, 610054, China.
Zhongyuan LiuChina Electronics Technology Group Corporation, Chongqing Acoustic Optic Electronic CO.,LT, 401332, Chong qing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper, a new preparation process of nanometer black silicon is proposed, by which high trapping optical Se-doped black silicon material is prepared by nanosecond pulsed laser ablation of high-resistance silicon coated with Se film in HF gas atmosphere. The results indicate that the average absorptivity of 400-2200 nm band before annealing is 96.81%, and the absorptivity maintains at 81.28% after annealing at 600 degrees. Meanwhile, black silicon prepared under the new technology is used in double four-quadrant photodetector, the results show that, at a reversed bias of 50 V, the average unit responsiveness is 0.528 A/W at 1060 nm and 0.102 A/W at 1180 nm, and the average dark current is 2 nA at inner quadrants and 8 nA at outer quadrants. The dual four-quadrant photodetector based on near-infrared enhanced black silicon has the advantages of high responsiveness, low dark current, fast response and low crosstalk, hence it is appropriate for a series of direction of applications, such as night vision detection and medical field.

Indexed as

Black siliconDual four-quadrantNear infrared enhancedPhotodetector

Identifiers

PMID33638762
PMCPMC7914334

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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.