Particle-Based Simulation of Fluid Dynamics
A special issue of Fluids (ISSN 2311-5521).
Deadline for manuscript submissions: closed (20 December 2020) | Viewed by 10827
Special Issue Editor
Interests: molecular and mesoscale simulations; microfluidics; nanofluidics; nanoparticles; polymer crystallization; tribology; rheology; computational nanotechnology
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The Special Issue covers new research in using particle-based methods such as molecular dynamics (MD), dissipative particle dynamics (DPD), lattice-Boltzmann (LB), smoothed particle hydrodynamics (SPH), and other relevant methods in the simulation of flow at micro/nano/macro scales.
In a continuum-based approach in traditional computational fluid dynamics (CFD), the simulation is done through discretisation of appropriate partial differential equations (such as Navier–Stokes), and subsequent solution to obtain flow field information. By contrast, in particle-based methods, the flow information arises naturally through the interaction of particles. While traditional CFD has matured and left its marks with successful application in investigating the flow at the macroscale, it has limitations and does not work in some situations—for example, due to lack of appropriate constitutive equations, for multiphase flows, for flow at the nanoscale, and through complex geometries, and when there are fast variations of spatiotemporal properties of the flow. In such situations, particle-based methods offer an alternative approach.
In this Special Issue, we would like to bring together some of the latest progress in the field and provide a stepping stone for future progress in this filed. Contributions in the form of original new research or reviews of the latest progress in the field are welcome.
Prof. Ahmad Jabbarzadeh
Guest Editor
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Keywords
- molecular dynamics (MD)
- dissipative particle dynamics (DPD)
- lattice–Boltzmann (LB)
- smoothed particle hydrodynamics(SPH)
- particle-based methods
- hybrid methods
- multiscale simulations
- nanofluidics
- microfluidics
- slip
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