Evidence map›Paper›PMID 40333282›Full record

ArticleMaterials (Basel, Switzerland)2025

Simulating the Structure of Magnetic Fluid Using Dissipative Particle Dynamics Method.

Xiaoxi Tian, Fanian Lai, Yu Ying

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2025. 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

3 authors.

Xiaoxi TianSchool of Electrical and Control Engineering, Shenyang Jianzhu University, Shenyang 110168, China.
Fanian LaiSchool of Electrical and Control Engineering, Shenyang Jianzhu University, Shenyang 110168, China.
Yu YingSchool of Electrical and Control Engineering, Shenyang Jianzhu University, Shenyang 110168, China.ORCID 0000-0002-2639-1877

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Magnetic fluids (MF), composed of ferromagnetic nanoparticles, surfactants, and a carrier liquid, exhibit tunable physical properties under external magnetic fields due to the formation of chain-like nanoparticle structures. Using dissipative particle dynamics (DPD), we simulate the structural evolution of these fluids and establish a computational model incorporating magnetic nanoparticles and solvent particles. Our simulations confirm qualitative agreement with the literature results, validating the chosen time integration methods. Through radial distribution function analysis, we further demonstrate how the mass of solvent molecules and magnetic interaction strength govern the fluid's microstructure. This work provides insights into the design of magnetic fluids for applications such as targeted drug delivery, adaptive dampers, and advanced magneto-rheological devices.

Indexed as

chain-like structuresdissipative particle dynamics methodmagnetic fluid

Identifiers

PMID40333282
PMCPMC12028771

What OpenQuestion holds

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Registered trials

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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.