A review of many-body dissipative particle dynamics (MDPD): Theoretical models and its applications
J Zhao, S Chen, K Zhang, Y Liu - Physics of Fluids, 2021 - pubs.aip.org
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 …
method that originated from dissipative particle dynamics. In the MDPD system, a density …
Lattice-Boltzmann modelling for inertial particle microfluidics applications-a tutorial review
Inertial particle microfluidics (IPMF) is an emerging technology for the manipulation and
separation of microparticles and biological cells. Since the flow physics of IPMF is complex …
separation of microparticles and biological cells. Since the flow physics of IPMF is complex …
Gpu-accelerated robotic simulation for distributed reinforcement learning
Abstract Most Deep Reinforcement Learning (Deep RL) algorithms require a prohibitively
large number of training samples for learning complex tasks. Many recent works on …
large number of training samples for learning complex tasks. Many recent works on …
Combined computational modeling and experimental study of the biomechanical mechanisms of platelet-driven contraction of fibrin clots
C Michael, F Pancaldi, S Britton, OV Kim… - Communications …, 2023 - nature.com
While blood clot formation has been relatively well studied, little is known about the
mechanisms underlying the subsequent structural and mechanical clot remodeling called …
mechanisms underlying the subsequent structural and mechanical clot remodeling called …
A dissipative particle dynamics method for arbitrarily complex geometries
Dissipative particle dynamics (DPD) is an effective Lagrangian method for modeling
complex fluids in the mesoscale regime but so far it has been limited to relatively simple …
complex fluids in the mesoscale regime but so far it has been limited to relatively simple …
Quantitative prediction of flow dynamics and mechanical retention of surface-altered red blood cells through a splenic slit
Normal red blood cells (RBCs) have remarkable properties of deformability, which enable
them to squeeze through tiny splenic inter-endothelial slits (IESs) without any damage …
them to squeeze through tiny splenic inter-endothelial slits (IESs) without any damage …
Multiscale computational framework for predicting viscoelasticity of red blood cells in aging and mechanical fatigue
Red blood cells (RBCs) experience significant cyclic deformation through large elastic
stretching and relaxation as they circulate in the bloodstream. Such hundreds of thousands …
stretching and relaxation as they circulate in the bloodstream. Such hundreds of thousands …
Bridging the computational gap between mesoscopic and continuum modeling of red blood cells for fully resolved blood flow
We present a computational framework for the simulation of blood flow with fully resolved
red blood cells (RBCs) using a modular approach that consists of a lattice Boltzmann solver …
red blood cells (RBCs) using a modular approach that consists of a lattice Boltzmann solver …
A GPU-accelerated package for simulation of flow in nanoporous source rocks with many-body dissipative particle dynamics
Mesoscopic simulations of hydrocarbon flow in source shales are challenging, in part due to
the heterogeneous shale pores with sizes ranging from a few nanometers to a few …
the heterogeneous shale pores with sizes ranging from a few nanometers to a few …
Implicit-solvent coarse-grained modeling for polymer solutions via Mori-Zwanzig formalism
We present a bottom-up coarse-graining (CG) method to establish implicit-solvent CG
modeling for polymers in solution, which conserves the dynamic properties of the reference …
modeling for polymers in solution, which conserves the dynamic properties of the reference …