Evidence map›Paper›PMID 40999041›Full record

ArticleScientific reports2025

Fabrication and dimensional scaling of SiNW-FET array via AFM-LAO lithography and self-limiting oxidation.

Nurain Najihah Alias, Muhammad Aniq Shazni Mohammad Haniff, Khatijah Aisha Yaacob

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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. Review
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

3 authors.

Nurain Najihah AliasInstitute of Microengineering and Nanoelectronics (IMEN), Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor, Malaysia.ORCID http://orcid.org/0009-0008-2113-9278
Muhammad Aniq Shazni Mohammad HaniffInstitute of Microengineering and Nanoelectronics (IMEN), Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor, Malaysia. aniqshazni@ukm.edu.my.ORCID http://orcid.org/0000-0003-3980-3460
Khatijah Aisha YaacobSchool of Materials and Mineral Resources Engineering (SMMRE), Engineering Campus, Universiti Sains Malaysia, 14300, Nibong Tebal, Penang, Malaysia. mraisha@usm.my.ORCID http://orcid.org/0000-0002-3689-4769

Funding

Ministry of Education Malaysia FRGS/1/2018/TK05/USM/02/5Universiti Kebangsaan Malaysia GUP-2024-003
6 · The paper itself

Abstract

Silicon nanowires (SiNWs) have emerged as promising candidates for advanced transistor applications due to their exceptional electronic properties, compatibility with standard semiconductor fabrication processes, and scalability toward miniaturized device architectures. In this study, we present a fabrication technique for SiNW-based device using atomic force microscope (AFM) lithography via the local anodic oxidation (LAO) process. To further refine the dimensions of the fabricated SiNWs, a self-limiting oxidation (SLO) process was employed as a post-patterning treatment. This combined approach addresses the limitations of conventional AFM-LAO by enabling dimensional scaling while improving nanowire uniformity and surface quality. The effects of oxidation temperature and the number of SLO cycles were systematically investigated to assess their influence on nanowire morphology and electrical performance. Results demonstrated that the most significant dimensional reduction occurred at 1000 °C after three SLO cycles. Electrical characterization through I-V measurements revealed a reduction in drain-source current (I

Indexed as

Atomic force microscopyField-effect transistorLithographyLocal anodic oxidationSelf-limiting oxidationSilicon nanowire

Identifiers

PMID40999041
PMCPMC12464180

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.