Evidence map›Paper›PMID 34850309›Full record

ArticleNanoscale research letters2021

Formation Mechanism of Well-Ordered Densely Packed Nanoparticle Superlattices Deposited from Gas Phase on Template-Free Surfaces.

Chang Liu, Fei Liu, Chen Jin, Sishi Zhang, Lianhua Zhang, Min Han

Abstract read
In one paragraph

Article in Nanoscale research letters, 2021. 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
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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

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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

6 authors.

Chang LiuNational Laboratory of Solid State Microstructures and Collaborative Innovation Centre of Advanced Microstructures, Nanjing University, Nanjing, 210093, China.
Fei LiuNational Laboratory of Solid State Microstructures and Collaborative Innovation Centre of Advanced Microstructures, Nanjing University, Nanjing, 210093, China.
Chen JinNational Laboratory of Solid State Microstructures and Collaborative Innovation Centre of Advanced Microstructures, Nanjing University, Nanjing, 210093, China.
Sishi ZhangDepartment of Materials Science and Engineering and Jiangsu Key Laboratory of Artificial Functional Materials, Nanjing University, Nanjing, 210093, China.
Lianhua ZhangNational Laboratory of Solid State Microstructures and Collaborative Innovation Centre of Advanced Microstructures, Nanjing University, Nanjing, 210093, China.
Min HanNational Laboratory of Solid State Microstructures and Collaborative Innovation Centre of Advanced Microstructures, Nanjing University, Nanjing, 210093, China. sjhanmin@nju.edu.cn.ORCID http://orcid.org/0000-0002-8911-8018

Funding

national key r&d program of china 2016YFA0201002national natural science foundation of china 11627806national natural science foundation of china 21875218national natural science foundation of china 51872261national natural science foundation of china U1909214
6 · The paper itself

Abstract

Superlattices of nanoparticles are generally produced based on solution chemistry processes. In this paper, we demonstrate that self-assembled monolayer structures of nanoparticles with superlattice periodicities can also be produced on template-free surfaces in the gas-phase cluster beam deposition process. It is found that the packing of Fe nanoparticles corresponds to an average of two-dimensional densely packed lattice with a hexagonal summary. By controlling the nanoparticle coverage, the two-dimensional densely packed monolayer morphology can spread to the whole substrate surface being deposited. A formation mechanism of the ordered monolayers is proposed. The densely packed morphologies are formed by the balance between the diffusion rate of the nanoparticles and their filling speed on the substrate surface determined by the deposition rate, and the ordering of the nanoparticle arrays is driven by the inter-particle attractive interactions. The model is strongly supported by a series of carefully designed cluster deposition experiments.

Indexed as

Attractive interactionDensely packedGas-phase cluster depositionOrdered nanocluster monolayerSelf-assemblingSurface migration

Identifiers

PMID34850309
PMCPMC8633269

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