Evidence map›Paper›PMID 38174359›Full record

ArticleACS applied materials & interfaces2024

Guided CdTe Nanowires Integrated into Fast Near-Infrared Photodetectors.

Yarden Danieli, Ella Sanders, Olga Brontvein, Ernesto Joselevich

Abstract read
In one paragraph

Article in ACS applied materials & interfaces, 2024. 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. Epitaxial Mixed-Dimensional MoSACS applied materials & interfaces · 2025
    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

4 authors.

Yarden DanieliDepartment of Molecular Chemistry and Materials Sciences, Weizmann Institute of Science, Rehovot 76100, Israel.ORCID 0000-0003-0931-9790
Ella SandersDepartment of Molecular Chemistry and Materials Sciences, Weizmann Institute of Science, Rehovot 76100, Israel.
Olga BrontveinChemical Research Support, Weizmann Institute of Science, Rehovot 76100, Israel.
Ernesto JoselevichDepartment of Molecular Chemistry and Materials Sciences, Weizmann Institute of Science, Rehovot 76100, Israel.ORCID 0000-0002-9919-0734

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infrared photodetectors are essential devices for telecommunication and night vision technologies. Two frequently used materials groups for this technology are III-V and II-VI semiconductors, notably, mercury-cadmium-telluride alloys (MCT). However, growing them usually requires expensive substrates that can only be provided on small scales, and their large-scale production as crystalline nanostructures is challenging. In this paper, we present a two-stage process for creating aligned MCT nanowires (NWs). First, we report the growth of planar CdTe nanowires with controlled orientations on flat and faceted sapphire substrates via the vapor-liquid-solid (VLS) mechanism. We utilize this guided growth approach to parallelly integrate the NWs into fast near-infrared photodetectors with characteristic rise and fall times of ∼100 μs at room temperature. An epitaxial effect of the planar growth and the unique structure of the NWs, including size and composition, are suggested to explain the high performance of the devices. In the second stage, we show that cation exchange with mercury can be applied, resulting in a band gap narrowing of up to 55 meV, corresponding to an exchange of 2% Cd with Hg. This work opens new opportunities for creating small, fast, and sensitive infrared detectors with an engineered band gap operating at room temperature.

Indexed as

CdTeinfraredMCTnanowiresphotodetectors

Identifiers

PMID38174359
PMCPMC10797596

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.