A review of many-body dissipative particle dynamics (MDPD): Theoretical models and its applications

Abstract

Many-body dissipative particle dynamics (MDPD) is a novel coarse-grained numerical method that originated from dissipative particle dynamics. In the MDPD system, a density-dependent repulsive interaction and an attractive term are introduced into a conservative force, enabling the formation of vapor–liquid coexistence. In the last two decades, the MDPD is becoming a powerful tool to study various interfacial problems at mesoscale due to its Lagrangian and adaptive features. In the present paper, we review the developments in the theoretical models and applications for the MDPD. First, the MDPD theoretical backgrounds of single- and multi-component system are introduced. Then, the parameter analysis and mapping protocols in the MDPD are discussed. Furthermore, recent applications based on the MDPD, including droplet and microbubble dynamics, evolution of liquid bridges, capillary wetting, polymer solutions, and phase change, are revisited with some comments. Finally, we summarize several unsolved issues in the MDPD and outline its future developments.

Flow Reduction in Pore Networks of Packed Silica Nanoparticles: Insights from Mesoscopic Fluid Models

“…62−64 The mDPD model can reproduce the compressibility of real liquid fluids as a function of pressure by considering the many-body interactions 55,65−68 and has been applied for qualitative studies of surface tension, 69 contact angle characterization, 70,71 multiphase flow in microchannels, 72−74 droplets impact on surfaces, 75−78 and nanocapillaries. 79 A recent review of mDPD on its theories and applications is reported in Zhao et al 80 Despite the many attractive features of mDPD, historically it has been a challenge for mDPD to accurately simulate the static and dynamic properties of real fluids simultaneously. A modified mDPD model was recently developed to enable accurate simulations of real-fluid compressibility (in a wide range of confinement pressure), surface tension, diffusivity, and viscosity simultaneously.…”

“…In DPD, simulations of multiphase fluid dynamics (including fluid–fluid and fluid–solid interactions) are made possible by several multiphase-enabled DPD models. − Among the DPD model variants, the many-body DPD (mDPD) model is a prominent candidate for mesoscopic simulations of fluid flow in nanoporous materials. − The mDPD model can reproduce the compressibility of real liquid fluids as a function of pressure by considering the many-body interactions ,− and has been applied for qualitative studies of surface tension, contact angle characterization, , multiphase flow in microchannels, − droplets impact on surfaces, − and nanocapillaries . A recent review of mDPD on its theories and applications is reported in Zhao et al…”

Two local slip modes at the liquid–liquid interface over liquid-infused surfaces

“…These are the representative values for a multiphase flow in an MDPD system. [52][53][54] The subscripts w and i denote the working fluid in the channel and the infused liquid in the groove, respectively. In addition, the subscripts l and s denote the liquid (working fluid and lubricant fluid) and the solid wall, respectively.…”

Insights into Waterflooding in Hydrocarbon-Bearing Nanochannels of Varying Cross Sections from Mesoscopic Multiphase Flow Simulations

“…In DPD, simulations of multiphase/component flow are enabled by several model variants, ,− ,,, among which the many-body DPD (mDPD) model is prominent for mesoscopic simulations of multicomponent flow in nanoporous media. , The mDPD model can predict the compressibility of real liquids as a function of pressure by considering the many-body interactions ,,,, and has been applied in the studies of surface tension, contact angle, , multiphase flow in microchannels, − droplets on surfaces, ,,, and nanocapillaries . A review of mDPD was recently reported by Zhao et al…”

“…79,80 The mDPD model can predict the compressibility of real liquids as a function of pressure by considering the manybody interactions 51,68,69,71,76 and has been applied in the studies of surface tension, 15 contact angle, 33,83 multiphase flow in microchannels, 4−6 droplets on surfaces, 10,30,73,74 and nanocapillaries. 8 A review of mDPD was recently reported by Zhao et al 88 Despite the many proven capabilities of mDPD, it has been a challenge for mDPD to accurately simulate the static and dynamic properties of real fluids at the same time. A modified mDPD model has recently been developed for accurate simulations of real-fluid compressibility in wide ranges of confinement pressure, surface tension, diffusivity, and viscosity simultaneously.…”