Evidence map›Paper›PMID 39387070›Full record

ArticleJournal of applied crystallography2024

Laboratory-based 3D X-ray standing-wave analysis of nanometre-scale gratings.

Ksenia Matveevskii, Konstantin V Nikolaev, Roberto Fallica, Detlef Beckers, Milen Gateshki, Alexander Kharchenko, Bart Spanjer, Alexander Rogachev, Sergey Yakunin, Marcelo Ackermann and 1 more

Abstract read
In one paragraph

Article in Journal of applied crystallography, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

11 authors.

Ksenia MatveevskiiUniversity of Twente Drienerlolaan 5 Enschde 7522 NB The Netherlands.
Konstantin V NikolaevNRC Kurchatov Institute Moscow Russian Federation.ORCID https://orcid.org/0000-0002-4752-9599
Roberto Fallicaimec Leuven Belgium.ORCID https://orcid.org/0000-0003-4523-9624
Detlef BeckersMalvern Panalytical BV, Almelo, The Netherlands.
Milen GateshkiMalvern Panalytical BV, Almelo, The Netherlands.ORCID https://orcid.org/0000-0003-3251-6266
Alexander KharchenkoMalvern Panalytical BV, Almelo, The Netherlands.
Bart SpanjerUniversity of Twente Drienerlolaan 5 Enschde 7522 NB The Netherlands.
Alexander RogachevNRC Kurchatov Institute Moscow Russian Federation.ORCID https://orcid.org/0000-0001-6026-1534
Sergey YakuninNRC Kurchatov Institute Moscow Russian Federation.ORCID https://orcid.org/0000-0001-6689-878X
Marcelo AckermannUniversity of Twente Drienerlolaan 5 Enschde 7522 NB The Netherlands.ORCID https://orcid.org/0000-0003-1191-4265
Igor A MakhotkinUniversity of Twente Drienerlolaan 5 Enschde 7522 NB The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increasing structural complexity and downscaling of modern nanodevices require continuous development of structural characterization techniques that support R&D and manufacturing processes. This work explores the capability of laboratory characterization of periodic planar nanostructures using 3D X-ray standing waves as a promising method for reconstructing atomic profiles of planar nanostructures. The non-destructive nature of this metrology technique makes it highly versatile and particularly suitable for studying various types of samples. Moreover, it eliminates the need for additional sample preparation before use and can achieve sub-nanometre reconstruction resolution using widely available laboratory setups, as demonstrated on a diffractometer equipped with a microfocus X-ray tube with a copper anode.

Indexed as

grazing-incidence X-ray fluorescencelaboratory metrologymany-beam dynamical diffraction theoryX-ray standing waves

Identifiers

PMID39387070
PMCPMC11460397

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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.