Evidence map›Paper›PMID 39597432›Full record

ArticleMaterials (Basel, Switzerland)2024

Controlled Formation of Porous Cross-Bar Arrays Using Nano-Transfer Printing.

Yu Na Kim, Eun Bin Kang, Tae Wan Park, Woon Ik Park

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

4 authors.

Yu Na KimDepartment of Materials Science and Engineering, Pukyong National University (PKNU), Busan 48513, Republic of Korea.
Eun Bin KangDepartment of Materials Science and Engineering, Pukyong National University (PKNU), Busan 48513, Republic of Korea.
Tae Wan ParkDepartment of Materials Science and Engineering, Pukyong National University (PKNU), Busan 48513, Republic of Korea.
Woon Ik ParkDepartment of Materials Science and Engineering, Pukyong National University (PKNU), Busan 48513, Republic of Korea.

Funding

National Research Foundation of Korea 2021R1A2C1004119National Research Foundation of Korea 2022R1A4A1034312Pukyong National University Industry-university Cooperation Research 202311840001
6 · The paper itself

Abstract

Nano-transfer printing (nTP) has emerged as an effective method for fabricating three-dimensional (3D) nanopatterns on both flat and non-planar substrates. However, most transfer-printed 3D patterns tend to exhibit non-discrete and/or non-porous structures, limiting their application in high-precision nanofabrication. In this study, we introduce a simple and versatile approach to produce highly ordered, porous 3D cross-bar arrays through precise control of the nTP process parameters. By selectively adjusting the polymer solution concentration and spin-coating conditions, we successfully generated discrete, periodic line patterns, which were then stacked at a 90-degree angle to form a porous 3D cross-bar structure. This technique enabled the direct transfer printing of PMMA line patterns with well-defined, square-arrayed holes, without requiring additional deposition of functional materials. This method was applied across diverse substrates, including planar Si wafers, flexible PET, metallic copper foil, and transparent glass, demonstrating its adaptability. These well-defined 3D cross-bar patterns enhance the versatility of nTP and are anticipated to find broad applicability in various nano-to-microscale electronic devices, offering high surface area and structural precision to support enhanced functionality and performance.

Indexed as

cross-bar patternnanoporousnanostructurenano-transfer printing

Identifiers

PMID39597432
PMCPMC11595979

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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.