Dissipative particle dynamics (DPD) is one of the most efficient mesoscale coarse-grained
methodologies for modeling soft matter systems. Here, we comprehensively review the …

The dissipative particle dynamics (DPD) technique is a relatively new mesoscale technique
which was initially developed to simulate hydrodynamic behavior in mesoscopic complex …

We investigate the mechanism of aggregation of red blood cells (RBC) in capillary vessels.
We use a discrete-particle model in 3D to model the flow of plasma and RBCs within a …

We have modeled the dynamics of a 3-D system consisting of red blood cells (RBCs),
plasma and capillary walls using a discrete-particle approach. The blood cells and capillary …

The field of thrombosis and hemostasis is crucial for understanding and developing new
therapies for pathologies such as deep vein thrombosis, diabetes related strokes, pulmonary …

Dissipative particle dynamics (DPD) method is applied to model the self-assembly of diblock
copolymer poly (ethyl ethylene)-block-poly (ethylene oxide)(PEE-b-PEO) and homopolymer …

We report results of numerical simulations of complex fluids, using a combination of discrete-
particle methods. Our molecular modeling repertoire comprises three simulation techniques …

Molecular modeling of liquid-state systems based on atomistic simulations remains
computationally prohibitive for mesoscopic spatial domains and lengthy time scales despite …

A major computational challenge for a multiscale modeling is the coupling of disparate
length and timescales between molecular mechanics and macroscopic transport, spanning …

The study of turbulent collision of cloud droplets requires simultaneous considerations of the
transport by background air turbulence (ie, geometric collision rate) and influence of droplet …