Influence of thermal fluctuations on nanoscale free-surface flows: A many-body dissipative particle dynamics study

Zhao, Chengxi; Zhao, Jiayi; Si, Ting; Chen, Shuo

doi:10.1063/5.0066982

Cited by 10 publications

(4 citation statements)

References 46 publications

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“…To quantitatively compare the numerical observations with the theoretical predictions derived from (3.18), we conduct multiple independent simulations (10 for each case) with different initial conditions to collect statistical data of the dominant modes. This statistical approach was proposed by Zhao, Sprittles & Lockerby (2019) and has been employed in evaluating dominant modes of instability in various films (Zhao et al 2021;Zhao, Zhang & Si 2023b;Zhao et al 2023a). For each simulation, a discrete Fourier transform is applied to the interface position h(z, t) to obtain the power spectral density (PSD) of the perturbations.…”

Section: Dominant Wavelengths Of Perturbationsmentioning

confidence: 99%

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Inertia and slip effects on the instability of a liquid film coated on a fibre

Zhao,

Qiao,

et al. 2024

J. Fluid Mech.

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To investigate the influence of inertia and slip on the instability of a liquid film on a fibre, a theoretical framework based on the axisymmetric Navier–Stokes equations is proposed via linear instability analysis. The model reveals that slip significantly enhances perturbation growth in viscous film flows, whereas it exerts minimal influence on flows dominated by inertia. Moreover, under no-slip boundary conditions, the dominant instability mode of thin films remains unaltered by inertia, closely aligning with predictions from a no-slip lubrication model. Conversely, when slip is introduced, the dominant wavenumber experiences a noticeable reduction as inertia decreases. This trend is captured by an introduced lubrication model with giant slip. Direct numerical simulations of the Navier–Stokes equations are then performed to further confirm the theoretical findings at the linear stage. For the nonlinear dynamics, no-slip simulations show complex vortical structures within films, driven by fluid inertia near surfaces. Additionally, in scenarios with weak inertia, a reduction in the volume of satellite droplets is observed due to slip, following a power-law relationship.

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Section: Dominant Wavelengths Of Perturbationsmentioning

confidence: 99%

“…This statistical approach was proposed by Zhao, Sprittles & Lockerby (2019) and has been employed in evaluating dominant modes of instability in various films (Zhao et al. 2021; Zhao, Zhang & Si 2023 b ; Zhao et al. 2023 a ).…”

Section: Direct Numerical Simulationsmentioning

confidence: 99%

Inertia and slip effects on the instability of a liquid film coated on a fibre

Zhao,

Qiao,

et al. 2024

J. Fluid Mech.

Self Cite

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“…To quantitatively compare the numerical observations with the theoretical predictions derived from (3.17), we conduct multiple independent simulations (10 for each case) with different initial conditions to collect statistical data of the dominant modes. This statistical approach was proposed by Zhao et al (2019) and has been employed in evaluating dominant modes of instability in various films (Zhao et al 2021(Zhao et al , 2023b. For each simulation, a discrete Fourier transform is applied to the interface position ℎ(𝑧, 𝑡) to obtain the power spectral density (PSD) of the perturbations.…”

Section: Dominant Wavelengths Of Perturbationsmentioning

confidence: 99%

Infectious Hospital Area, the First Affiliated Hospital of University of Science and Technology of China, Hefei, China

Zhao¹,

Hu²,

Xue³

et al. 2021

BEBM

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With advances in deep learning, neural network based speech enhancement (SE) has developed rapidly in the last decade. Meanwhile, the self-supervised pre-trained model and vector quantization (VQ) have achieved excellent performance on many speech-related tasks, while they are less explored on SE. As it was shown in our previous work that utilizing a VQ module to discretize noisy speech representations is beneficial for speech denoising, in this work we therefore study the impact of using VQ at different layers with different number of codebooks. Different VQ modules indeed enable to extract multiplegranularity speech features. Following an attention mechanism, the contextual features extracted by a pre-trained model are fused with the local features extracted by the encoder, such that both global and local information are preserved to reconstruct the enhanced speech. Experimental results on the Valentini dataset show that the proposed model can improve the SE performance, where the impact of choosing pre-trained models is also revealed.

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“…Importantly, this method should include attractive interactions in order to enable the simulation of multiphase systems. Here, we show that the many-body dissipative particle dynamics (MDPD) [30][31][32][33][34][35] method can be used to substitute MD simulations in certain areas, and, when combined with the MARTINI "Lego" approach, can provide accurate descriptions of a system at a much lower computational cost. As in the case of the MARTINI approach, the intermolecular interactions between CG beads are obtained via a top-down approach based on the water-octanol partition coefficients [36].…”

Section: Introductionmentioning

confidence: 99%

Many-body dissipative particle dynamics with the MARTINI “Lego” approach

Carnevale,

Theodorakis

2024

Eur. Phys. J. Plus

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MARTINI is a popular coarse-grained (CG) force-field that is used in molecular dynamics (MD) simulations. It is based on the “Lego” approach where nonbonded interactions between CG beads representing chemical units of different polarity are obtained through water–octanol partition coefficients. This enables the simulation of a wide range of molecules by only using a finite number of parametrized CG beads, similar to the Lego game, where a finite number of brick types is used to create larger structures. Moreover, the MARTINI force-field is based on the Lennard–Jones potential with the shortest possible cutoff including attractions, thus rendering it very efficient for MD simulations. However, MD simulation is in general a computationally expensive method. Here, we demonstrate that using the MARTINI “Lego” approach is suitable for many-body dissipative particle (MDPD) dynamics, a method that can simulate multi-component and multi-phase soft matter systems in a much faster time than MD. In this study, a DPPC lipid bilayer is chosen to provide evidence for the validity of this approach and various properties are compared to highlight the potential of the method, which can be further extended by introducing new CG bead types.

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Influence of thermal fluctuations on nanoscale free-surface flows: A many-body dissipative particle dynamics study

Cited by 10 publications

References 46 publications

Inertia and slip effects on the instability of a liquid film coated on a fibre

Inertia and slip effects on the instability of a liquid film coated on a fibre

Infectious Hospital Area, the First Affiliated Hospital of University of Science and Technology of China, Hefei, China

Many-body dissipative particle dynamics with the MARTINI “Lego” approach

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