Evidence map›Paper›PMID 37513122›Full record

ArticleNanomaterials (Basel, Switzerland)2023

Colloidal Quantum Dot Nanolithography: Direct Patterning via Electron Beam Lithography.

Taewoo Ko, Samir Kumar, Sanghoon Shin, Dongmin Seo, Sungkyu Seo

Abstract read
In one paragraph

Article in Nanomaterials (Basel, Switzerland), 2023. 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. Article
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.

Taewoo KoDepartment of Electronics and Information Engineering, Korea University, Sejong 30019, Republic of Korea.
Samir KumarDepartment of Electronics and Information Engineering, Korea University, Sejong 30019, Republic of Korea.ORCID 0000-0002-6302-6326
Sanghoon ShinDepartment of Electronics and Information Engineering, Korea University, Sejong 30019, Republic of Korea.
Dongmin SeoDepartment of Electrical Engineering, Semyung University, Jecheon 27136, Republic of Korea.ORCID 0000-0002-7536-6643
Sungkyu SeoDepartment of Electronics and Information Engineering, Korea University, Sejong 30019, Republic of Korea.ORCID 0000-0001-7990-7390

Funding

IITP(Institute for Information & Communications Technology Planning & Evaluation) and funded by the Ministry of Science and ICT (MSIT), Korea IITP-2023-RS-2023-00258971Korea Innovation Foundation funded by the Ministry of Science and ICT (MSIT) 2023-SB-SB-0019Korea Institute of Marine Science & Technology Promotion (KIMST) support program funded by the Ministry of Oceans and Fisheries, Korea 20210660Korea Medical Device Development Fund funded by the Korean Government RS-2020-KD000142National Research Foundation (NRF) of Korea 2020R1A2C1012109
6 · The paper itself

Abstract

Micro/nano patterns based on quantum dots (QDs) are of great interest for applications ranging from electronics to photonics to sensing devices for biomedical purposes. Several patterning methods have been developed, but all lack the precision and reproducibility required to fabricate precise, complex patterns of less than one micrometer in size, or require specialized crosslinking ligands, limiting their application. In this study, we present a novel approach to directly pattern QD nanopatterns by electron beam lithography using commercially available colloidal QDs without additional modifications. We have successfully generated reliable dot and line QD patterns with dimensions as small as 140 nm. In addition, we have shown that using a 10 nm SiO

Indexed as

colloidal quantum dotselectron beam lithographynanolithographypatterning methodsquantum dots

Identifiers

PMID37513122
PMCPMC10384559

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.