Evidence map›Paper›PMID 39152235›Full record

ArticleScientific reports2024

Impingement of binary nanodroplets on rough surfaces: a molecular dynamics study.

Yibing Xue, Haichao Wang, Shuaichang Huang, Xiaoye Bie, Gang Wang, Ming Fang

Abstract read
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Article in Scientific reports, 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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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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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.

Yibing XueSchool of Artificial Intelligence, Changchun University of Science and Technology, Changchun, 130022, China.
Haichao WangJilin Jiangji Special Industries Co., Ltd, Jilin, 132000, China.
Shuaichang HuangQinzhou Power Supply Bureau of Guangxi Power Grid Co., Ltd, Qinzhou, 535000, China.
Xiaoye BieJilin Jiangji Special Industries Co., Ltd, Jilin, 132000, China.
Gang WangJilin Jiangji Special Industries Co., Ltd, Jilin, 132000, China.
Ming FangSchool of Artificial Intelligence, Changchun University of Science and Technology, Changchun, 130022, China. fangming@cust.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Roughness or texture endow the solid surface with the ability of some particular property of water repellency that has been employed in a variety of practical applications, including self-cleaning, icing-resistant, and so forth. However, the understanding of the dynamic evolution of impacting binary droplets on rough surfaces is not satisfactory, especially at the nanoscale. In this work, we investigate the impact process of the binary droplet system, a suspending droplet impacts a sessile one deposited on hydrophobic textured surfaces, via molecular dynamics (MD) simulations. Dynamic evolutions from MD simulations under various impact conditions are discussed, including coalescence, spreading, retraction and vibration, and bouncing. The free energy variation during the impacting process is calculated to reveal the mechanisms behind the impact dynamics. The effect of the surface texture on the spreading and retraction is investigated, and the corresponding maximum spreading diameter is also discussed. Finally, we investigate the effect of the surface texture on bouncing behavior, which is found to promote the droplet bouncing at low We range but suppress the bouncing behavior at high We range.

Identifiers

PMID39152235
PMCPMC11329731

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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.