Shear viscosity of electrorheological complex plasmas

Abstract In this paper, we investigate the behavior of shear viscosity for three-dimensional electrorheological complex plasmas (CPs) liquids by using the computational method (molecular dynamics simulations) under an external AC electric field ( M T ). The Green–Kubo formula is used to calculate the shear stress autocorrelation function ( A η ( t )) and their integrals (coefficients, η ) under the influence of M T , across numerous values of CPs parameters. By comparing the presented simulation results obtained under the absence of M T (=0.0) and at equilibrium strength ( M T = 0.007), we analyze and discuss their implications in relation to existing theoretical, simulation, and experimental findings. Our observations demonstrate that the M T significantly influences the shear viscosity (dynamics) of CPs. Simulation results demonstrated that decay, magnitude, and time of A η ( t ) gradually decreased with increasing the M T , and coefficients η increased in the order of magnitude as expected. These results identified three distinct regimes: a slight decrease in η at low M T intensities, high increase at intermediate, and a relatively constant behavior at higher M T intensities. We demonstrate that employing the Green–Kubo relation for effective interparticle potential in CPs yields safe, reliable, and accurate estimations of M T effects on shear viscosity. Our findings of η demonstrate the electrorheological characteristics of CPs, offering insights into phase transitions using electric fields.

Authors

Institutions

Publication Details

Journal
Physica Scripta
Published
2024-12-24
DOI
https://doi.org/10.1088/1402-4896/ada31d
Citations
1
Primary Topic
Traffic control and management
Type
article
Field-Weighted Citation Impact
0.33

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Shear viscosity of electrorheological complex plasmas

Ismail Rahim, Aamir Shahzad, Maogang He, Muhammad Asif Shakoori et al.
1 citations
Physica Scripta
Traffic control and management
0.33
article

Shear viscosity of electrorheological complex plasmas

Ismail Rahim, Aamir Shahzad, Maogang He, Muhammad Asif Shakoori, Haipeng Li, Misbah Khan
article en
1 citations

Abstract

Abstract In this paper, we investigate the behavior of shear viscosity for three-dimensional electrorheological complex plasmas (CPs) liquids by using the computational method (molecular dynamics simulations) under an external AC electric field ( M T ). The Green–Kubo formula is used to calculate the shear stress autocorrelation function ( A η ( t )) and their integrals (coefficients, η ) under the influence of M T , across numerous values of CPs parameters. By comparing the presented simulation results obtained under the absence of M T (=0.0) and at equilibrium strength ( M T = 0.007), we analyze and discuss their implications in relation to existing theoretical, simulation, and experimental findings. Our observations demonstrate that the M T significantly influences the shear viscosity (dynamics) of CPs. Simulation results demonstrated that decay, magnitude, and time of A η ( t ) gradually decreased with increasing the M T , and coefficients η increased in the order of magnitude as expected. These results identified three distinct regimes: a slight decrease in η at low M T intensities, high increase at intermediate, and a relatively constant behavior at higher M T intensities. We demonstrate that employing the Green–Kubo relation for effective interparticle potential in CPs yields safe, reliable, and accurate estimations of M T effects on shear viscosity. Our findings of η demonstrate the electrorheological characteristics of CPs, offering insights into phase transitions using electric fields.

Physica ScriptaVol. 100(2)
Government College University, Faisalabad (PK), China University of Mining and Technology (CN), Xi'an Jiaotong University (CN)
Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 38%
Traffic control and management
0.33
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.