Evidence map›Paper›PMID 42032068›Full record

ArticleScientific reports2026

Broadband, low-noise heterojunction photodiodes enabled by simple and scalable transfer of carbon nanowalls.

Yerassyl Yerlanuly, Hryhorii P Parkhomenko, Rakhymzhan Ye Zhumadilov, Renata R Nemkayeva, Baglan A Kyrykbay, Mykhailo M Solovan, Andrii I Mostovyi, Tlekkabul S Ramazanov, Maratbek T Gabdullin, Askhat N Jumabekov and 1 more

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Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Yerassyl Yerlanuly *Institute of Applied Sciences and Information Technologies, 050038, Almaty, Kazakhstan.
Hryhorii P Parkhomenko *Faculty of Physics and Astronomy, Adam Mickiewicz University, 61-614, Poznan, Poland.
Rakhymzhan Ye ZhumadilovInstitute of Applied Sciences and Information Technologies, 050038, Almaty, Kazakhstan.
Renata R NemkayevaInstitute of Applied Sciences and Information Technologies, 050038, Almaty, Kazakhstan.
Baglan A KyrykbayInstitute of Applied Sciences and Information Technologies, 050038, Almaty, Kazakhstan.
Mykhailo M SolovanFaculty of Physics and Astronomy, Adam Mickiewicz University, 61-614, Poznan, Poland.
Andrii I MostovyiDepartment of Electronics and Energy Engineering, Yuriy Fedkovych Chernivtsi National University, Chernivtsi, 58012, Ukraine.
Tlekkabul S RamazanovAl-Farabi Kazakh National University, 050040, Almaty, Kazakhstan.
Maratbek T GabdullinInstitute of Applied Sciences and Information Technologies, 050038, Almaty, Kazakhstan. gabdullin@physics.kz.
Askhat N JumabekovDepartment of Physics, School of Sciences and Humanities, Nazarbayev University, 010000, Astana, Kazakhstan. askhat.jumabekov@nu.edu.kz.
Viktor V BrusODIS Laboratory, Department of Electrical and Computer Engineering, Illinois Institute of Technology, Chicago, 60616, USA. vbrus@illinoistech.edu.

Funding

Ministry of Science and Higher Education of the Republic of Kazakhstan BR28712419Polish National Agency for Academic Exchange under the Ulam NAWA Program BNI/ULM/2024/1/00019
6 · The paper itself

Abstract

In this study, we report the fabrication and characterization of broadband photodetectors based on carbon nanowalls (CNWs) synthesized by inductively coupled plasma-enhanced chemical vapor deposition (ICP-PECVD). Vertically oriented CNWs with a highly developed edge structure were transferred onto n-type silicon substrates to form CNWs/n-Si heterojunctions. The devices exhibited clear rectifying behavior and strong photoresponse under white light illumination. Spectral analysis revealed a wide detection range from 300 to 1150 nm, with a maximum responsivity of 0.2 A W

Indexed as

Broadband photodetectorCarbon nanowalls (CNWs)DetectivityFast photoresponseICP-PECVDLow-noise deviceOptoelectronicsResponsivitySilicon heterojunction

Identifiers

PMID42032068
PMCPMC13272652

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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.