Molecular dynamics evaluation of self-diffusion coefficients in two-dimensional dusty plasmas

Abstract We employ the Green–Kubo (G-K) and Einstein relations to estimate the self-diffusion coefficients (denoted as D G and D E , respectively) in two-dimensional (2D) strongly coupled dusty plasmas (SC-DPs) via equilibrium molecular dynamics (EMD) simulations. D G and D E are computed for a broad domain of screening length ( κ ) and coupling parameters ( Γ ) along with different system sizes. It is observed that both D G and D E decrease linearly with increasing Γ in warm liquid states and increase with increasing κ . In cold liquid states, the Einstein relation accurately predicts D E in 2D SC-DPs because diffusion motion is close to normal diffusion, but the G-K relation provides overestimations of D G , because VACF indicates anomalous diffusion; thus, D G is not accurate. Our new simulation outcomes reveal that D G and D E remain independent of system sizes. Furthermore, our investigations demonstrate that at higher temperatures, D G and D E converge, suggesting diffusion motion close to normal diffusion, while at lower temperatures, these two values diverge. We find reasonable agreement by comparing current and existing numerical, theoretical and experimental data. Moreover, when normalizing diffusion coefficients by the Einstein frequency and testing against the universal temperature scaling law, D G deviates from theoretical curves at low temperatures and κ , whereas D E only disagrees with theory at very small κ (≃ 0.10). These findings provide valuable insight into diagnosing dust component parameters within 2D DP systems and contribute to the broader understanding of diffusion processes in DP environments.

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Publication Details

Journal
Chinese Physics B
Published
2025-01-22
DOI
https://doi.org/10.1088/1674-1056/adacce
Primary Topic
Dust and Plasma Wave Phenomena
Type
article
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article

Molecular dynamics evaluation of self-diffusion coefficients in two-dimensional dusty plasmas

Aamir Shahzad, Syed Ali Raza, Muhammad Asif Shakoori, Haipeng Li et al.
Chinese Physics B
Dust and Plasma Wave Phenomena
article

Molecular dynamics evaluation of self-diffusion coefficients in two-dimensional dusty plasmas

Aamir Shahzad, Syed Ali Raza, Muhammad Asif Shakoori, Haipeng Li, Misbah Khan, Maogang He
article en

Abstract

Abstract We employ the Green–Kubo (G-K) and Einstein relations to estimate the self-diffusion coefficients (denoted as D G and D E , respectively) in two-dimensional (2D) strongly coupled dusty plasmas (SC-DPs) via equilibrium molecular dynamics (EMD) simulations. D G and D E are computed for a broad domain of screening length ( κ ) and coupling parameters ( Γ ) along with different system sizes. It is observed that both D G and D E decrease linearly with increasing Γ in warm liquid states and increase with increasing κ . In cold liquid states, the Einstein relation accurately predicts D E in 2D SC-DPs because diffusion motion is close to normal diffusion, but the G-K relation provides overestimations of D G , because VACF indicates anomalous diffusion; thus, D G is not accurate. Our new simulation outcomes reveal that D G and D E remain independent of system sizes. Furthermore, our investigations demonstrate that at higher temperatures, D G and D E converge, suggesting diffusion motion close to normal diffusion, while at lower temperatures, these two values diverge. We find reasonable agreement by comparing current and existing numerical, theoretical and experimental data. Moreover, when normalizing diffusion coefficients by the Einstein frequency and testing against the universal temperature scaling law, D G deviates from theoretical curves at low temperatures and κ , whereas D E only disagrees with theory at very small κ (≃ 0.10). These findings provide valuable insight into diagnosing dust component parameters within 2D DP systems and contribute to the broader understanding of diffusion processes in DP environments.

Chinese Physics BVol. 34(4)
Government College University, Faisalabad (PK), China University of Mining and Technology (CN), Xi'an Jiaotong University (CN)
Openalex Percentile: Top 99%
Dust and Plasma Wave Phenomena
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