Model, multi-component particle property

Our discrete-particle approach possesses the important properties of mesoscopic systems. It can model easily the heterogeneous nature of complex fluid suspension in the presence of fluctuations. This allows for simulating processes, which cannot be modeled by computational fluid dynamics codes. We showed that our microscopic blood model can be used for simulating microscopic, multi-component blood flow under extreme conditions in presence of high acceleration [100]. 

During the past few decades, various theoretical models have been developed to explain the physical properties and to find key parameters for the prediction of the system behaviors. Recent technological trends focus toward integration of subsystem models in various scales, which entails examining the nanophysical properties, subsystem size, and scale-specified numerical analysis methods on system level performance. Multi-scale modeling components including quantum mechanical (i.e., density functional theory (DFT) and ab initio simulation), atom-istic/molecular (i.e., Monte Carlo (MC) and molecular dynamics (MD)), mesoscopic (i.e., dissipative particle dynamics (DPD) and lattice Boltzmann method (LBM)), and macroscopic (i.e., LBM, computational... 

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