Evidence map›Paper›PMID 33257728›Full record

ArticleScientific reports2020

Multiscale simulation of the focused electron beam induced deposition process.

Pablo de Vera, Martina Azzolini, Gennady Sushko, Isabel Abril, Rafael Garcia-Molina, Maurizio Dapor, Ilia A Solov'yov, Andrey V Solov'yov

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Atomistic Simulations of Fe(CO)The journal of physical chemistry. C, Nanomaterials and interfaces · 2026
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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

8 authors.

Pablo de VeraMBN Research Center, Altenhöferallee 3, 60438, Frankfurt am Main, Germany. pablo.vera@um.es.
Martina AzzoliniEuropean Centre for Theoretical Studies in Nuclear Physics and Related Areas (ECT*), 38123, Trento, Italy.
Gennady SushkoMBN Research Center, Altenhöferallee 3, 60438, Frankfurt am Main, Germany.
Isabel AbrilDepartament de Física Aplicada, Universitat d'Alacant, 03080, Alacant, Spain.
Rafael Garcia-MolinaDepartamento de Física - Centro de Investigación en Óptica y Nanofísica (CIOyN), Universidad de Murcia, 30100, Murcia, Spain.
Maurizio DaporEuropean Centre for Theoretical Studies in Nuclear Physics and Related Areas (ECT*), 38123, Trento, Italy.
Ilia A Solov'yovDepartment of Physics, Carl von Ossietzky University, Carl-von-Ossietzky Straße 9-11, 26129, Oldenburg, Germany.
Andrey V Solov'yovMBN Research Center, Altenhöferallee 3, 60438, Frankfurt am Main, Germany.

Funding

Alexander von Humboldt-Stiftung 1197139Conselleria d'Educació, Investigació, Cultura i Esport AICO/2019/070Deutsche Forschungsgemeinschaft 415716638Deutsche Forschungsgemeinschaft GRK1885European Cooperation in Science and Technology CA17126Fundación Séneca 19907/GERM/15Ministerio de Ciencia e Innovación FJCI-2017-32233Ministerio de Ciencia e Innovación PGC2018-096788-B-I00
6 · The paper itself

Abstract

Focused electron beam induced deposition (FEBID) is a powerful technique for 3D-printing of complex nanodevices. However, for resolutions below 10 nm, it struggles to control size, morphology and composition of the structures, due to a lack of molecular-level understanding of the underlying irradiation-driven chemistry (IDC). Computational modeling is a tool to comprehend and further optimize FEBID-related technologies. Here we utilize a novel multiscale methodology which couples Monte Carlo simulations for radiation transport with irradiation-driven molecular dynamics for simulating IDC with atomistic resolution. Through an in depth analysis of [Formula: see text] deposition on [Formula: see text] and its subsequent irradiation with electrons, we provide a comprehensive description of the FEBID process and its intrinsic operation. Our analysis reveals that simulations deliver unprecedented results in modeling the FEBID process, demonstrating an excellent agreement with available experimental data of the simulated nanomaterial composition, microstructure and growth rate as a function of the primary beam parameters. The generality of the methodology provides a powerful tool to study versatile problems where IDC and multiscale phenomena play an essential role.

Identifiers

PMID33257728
PMCPMC7705715

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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.