Evidence map›Paper›PMID 40069151›Full record

ArticleMicrosystems & nanoengineering2025

Micro-3D sculptured metastructures with deep trenches for sub-10 μm resolution.

Anıl Çağrı Atak, Emre Ünal, Hilmi Volkan Demir

Abstract read
In one paragraph

Article in Microsystems & nanoengineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Anıl Çağrı AtakDepartment of Electrical and Electronics Engineering, Department of Physics, UNAM - National Nanotechnology Research Center and Institute of Materials Science and Nanotechnology, Bilkent University, Ankara, 06800, Turkey.
Emre ÜnalDepartment of Electrical and Electronics Engineering, Department of Physics, UNAM - National Nanotechnology Research Center and Institute of Materials Science and Nanotechnology, Bilkent University, Ankara, 06800, Turkey.
Hilmi Volkan DemirDepartment of Electrical and Electronics Engineering, Department of Physics, UNAM - National Nanotechnology Research Center and Institute of Materials Science and Nanotechnology, Bilkent University, Ankara, 06800, Turkey. volkan@bilkent.edu.tr.ORCID http://orcid.org/0000-0003-1793-112X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Three-dimensional (3D) printing allows for the construction of complex structures. However, 3D-printing vertical structures with a high aspect ratio remains a pending challenge, especially when a high lateral resolution is required. Here, to address this challenge, we propose and demonstrate micro-3D sculptured metastructures with deep trenches of 1:4 (width:height) aspect ratio for sub-10 µm resolution. Our construction relies on two-photon polymerization for a 3D-pattern with its trenches, followed by electroplating of a thick metal film and its dry etching to remove the seed layer. To test the proposed fabrication process, we built up three-dimensional RF metastructures showcasing the depth effect as the third dimension. Using the numerical solutions, we custom-tailored these metastructure resonators to fall within a specific resonance frequency range of 4-6 GHz while undertaking comparative analyses regarding overall footprint, quality factor, and resonance frequency shift as a function of their cross-sectional aspect ratio. The proposed process flow is shown to miniaturize metal footprint and tune the resonance frequency of these thick 3D-metastructures while increasing their quality factor. These experimental findings indicate that this method of producing trenches via 3D-printing provides rich opportunities to implement high-aspect-ratio, complex structures.

Identifiers

PMID40069151
PMCPMC11897358

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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.