Evidence map›Paper›PMID 40175498›Full record

ArticleScientific reports2025

A progressive wafer scale approach for Sub-10 nm nanogap structures.

Jongjin Cha, Geon Lee, Dukhyung Lee, Dai-Sik Kim, Sunghwan Kim

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
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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

5 authors.

Jongjin ChaDepartment of Physics and Astronomy, Seoul National University (SNU), Seoul, 08826, Republic of Korea.
Geon LeeSchool of Electrical and Electronics Engineering, Chung-Ang University, Seoul, 06974, Republic of Korea.
Dukhyung LeeSchool of Applied and Engineering Physics, Mohammed VI Polytechnic University (UM6P), 43150, Ben Guerir, Morocco.
Dai-Sik KimDepartment of Physics and Astronomy, Seoul National University (SNU), Seoul, 08826, Republic of Korea.
Sunghwan KimDepartment of Physics, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea. shkim0018@unist.ac.kr.

Funding

National Research Foundation of Korea NRF-2015R1A3A2031768
6 · The paper itself

Abstract

Sub-10 nm nanostructures with high precision and uniformity are of significant interest due to their unique quantum properties and critical role in next-generation devices. However, current fabrication techniques are often constrained by the slow, small-area processes of electron beam lithography or the high costs of extreme ultraviolet (EUV) lithography, limiting broader accessibility. To address these challenges, we have advanced the atomic layer lithography method into an efficient, scalable approach for fabricating sub-10 nm nanogaps with high uniformity across entire wafer areas. The key strategy of this method is the direct employment of photoresist patterns as both protective and sacrificial layers, streamlining the process. Comprehensive optical and electron microscopy analyses, supported by COMSOL simulations and terahertz transmission measurements, confirm the formation of highly uniform, high-quality nanogaps across the entire wafer. Compared to the original atomic layer lithography, our approach offers enhanced patterning flexibility, including a simplified process, improved compatibility with a wide range of metals, and the ability to perform additional patterning on initial nanogap structures. This scalable technique, compatible with standard lithographic tools, provides a promising pathway for sub-10 nm nanogap fabrication, with strong potential for both academic research and industrial applications.

Identifiers

PMID40175498
PMCPMC11965483

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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.