Cite this article:
Muhammad Asif Shakoori, Misbah Khan, Haipeng Li, Aamir Shahzad, Maogang He, Syed Ali Raza. Molecular dynamics evaluation of self-diffusion coefficients in two-dimensional dusty plasmasJ. Chin. Phys. B, 2025, 34(4): 045202.
| Muhammad Asif Shakoori, Misbah Khan, Haipeng Li, Aamir Shahzad, Maogang He, Syed Ali Raza. Molecular dynamics evaluation of self-diffusion coefficients in two-dimensional dusty plasmasJ. Chin. Phys. B, 2025, 34(4): 045202. |
Molecular dynamics evaluation of self-diffusion coefficients in two-dimensional dusty plasmas
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Abstract
We employ the Green–Kubo (G-K) and Einstein relations to estimate the self-diffusion coefficients (denoted as DG and DE, respectively) in two-dimensional (2D) strongly coupled dusty plasmas (SC-DPs) via equilibrium molecular dynamics (EMD) simulations. DG and DE are computed for a broad domain of screening length (κ) and coupling parameters (Γ) along with different system sizes. It is observed that both DG and DE decrease linearly with increasing Γ in warm liquid states and increase with increasing κ. In cold liquid states, the Einstein relation accurately predicts DE in 2D SC-DPs because diffusion motion is close to normal diffusion, but the G-K relation provides overestimations of DG, because VACF indicates anomalous diffusion; thus, DG is not accurate. Our new simulation outcomes reveal that DG and DE remain independent of system sizes. Furthermore, our investigations demonstrate that at higher temperatures, DG and DE 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, DG deviates from theoretical curves at low temperatures and κ, whereas DE 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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