Evidence map›Paper›PMID 40212348›Full record

ArticleSmall science2024

Nanofabrication and Demonstration of a Direct-Write Microevaporator.

Xella Doi, Pavani Vamsi Krishna Nittala, Brian Fu, Kyaw Zin Latt, Suryakant Mishra, Luke Silverman, Linus Woodard, Ralu Divan, Supratik Guha

Abstract read
In one paragraph

Article in Small science, 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

9 authors.

Xella DoiPritzker School of Molecular Engineering University of Chicago Chicago IL 60637 USA.
Pavani Vamsi Krishna NittalaPritzker School of Molecular Engineering University of Chicago Chicago IL 60637 USA.
Brian FuPritzker School of Molecular Engineering University of Chicago Chicago IL 60637 USA.
Kyaw Zin LattPritzker School of Molecular Engineering University of Chicago Chicago IL 60637 USA.
Suryakant MishraMaterials Science Division Argonne National Laboratory Lemont IL 60439 USA.
Luke SilvermanPritzker School of Molecular Engineering University of Chicago Chicago IL 60637 USA.
Linus WoodardPritzker School of Molecular Engineering University of Chicago Chicago IL 60637 USA.
Ralu DivanCenter for Nanoscale Materials Argonne National Laboratory Lemont IL 60439 USA.
Supratik GuhaPritzker School of Molecular Engineering University of Chicago Chicago IL 60637 USA.ORCID https://orcid.org/0000-0001-5071-8318

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Direct-write vapor deposition is a new technique that would enable one-step 3D maskless nanofabrication on a variety of substrates. A novel silicon chip-based microevaporator is developed that allows evaporant to exit through 2000-300 nm nozzles while held at distances comparable to the nozzle diameter from the substrate by a three-axis nanopositioning stage in vacuum. This results in a localized deposition on the substrate, which may be scanned relative to the substrate to produce direct-write patterns. The performance of the microevaporator is tested by creating localized depositions of various materials and the line-writing potential is demonstrated. The relationship between linewidth and source-to-substrate distance is investigated by the application of Knudsen's cosine law and Monte-Carlo simulations, and then utilized to approximate the source-to-substrate distance from performed depositions.

Indexed as

direct writeheterogeneous integrationhigh-aspect-ratio etchnanofabricationphysical vapor deposition

Identifiers

PMID40212348
PMCPMC11935200

What OpenQuestion holds

Textmetadata
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.