ArticleThe Journal of chemical physics2011
Simulation of aggregating particles in complex flows by the lattice kinetic Monte Carlo method.
Article in The Journal of chemical physics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Enhanced Synthesis and Electrochemical Performance of Cobalt Hexacyanoferrate via Protonation-Regulated Coprecipitation.Small (Weinheim an der Bergstrasse, Germany) · 2026Article
- A three-dimensional shear dependent continuum model of platelet aggregation under flow.PLoS computational biology · 2026Article
- From imaging to computational domains for physics-driven molecular biology simulations: Hindered diffusion in platelet masses.PLoS computational biology · 2025Article
- Multiscale simulations that incorporate patient-specific neural network models of platelet calcium signaling predict diverse thrombotic outcomes under flow.PLoS computational biology · 2025Article
- On-Chip Control over Polyelectrolyte-Surfactant Complexation in Nonequilibrium Microfluidic Confinement.Polymers · 2022Article
- Aggregation and clogging phenomena of rigid microparticles in microfluidics: Comparison of a discrete element method (DEM) and CFD-DEM coupling method.Microfluidics and nanofluidics · 2018Article
- Model predictions of deformation, embolization and permeability of partially obstructive blood clots under variable shear flow.Journal of the Royal Society, Interface · 2017Article
- Numerical Simulation of Thrombotic Occlusion in Tortuous Arterioles.Journal of cardiology and cardiovascular medicine · 2017Article
- Systems Analysis of Thrombus Formation.Circulation research · 2016Review
- Computational simulation of platelet interactions in the initiation of stent thrombosis due to stent malapposition.Physical biology · 2016Article
- Fluid Mechanics of Blood Clot Formation.Annual review of fluid mechanics · 2015Article
- Simulation of the microscopic process during initiation of stent thrombosis.Computers in biology and medicine · 2015Article
- Platelet size and density affect shear-induced thrombus formation in tortuous arterioles.Physical biology · 2013Article
- Systems biology of coagulation.Journal of thrombosis and haemostasis : JTH · 2013Review
- Microfluidics and coagulation biology.Annual review of biomedical engineering · 2013Review
- Effect of Red Blood Cells on Platelet Activation and Thrombus Formation in Tortuous Arterioles.Frontiers in bioengineering and biotechnology · 2013Article
- Systems biology of platelet-vessel wall interactions.Frontiers in physiology · 2013Article
- Multiscale systems biology and physics of thrombosis under flow.Annals of biomedical engineering · 2012Review
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3 authors.
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Abstract
We develop and validate an efficient lattice kinetic Monte Carlo (LKMC) method for simulating particle aggregation in laminar flows with spatially varying shear rate, such as parabolic flow or flows with standing vortices. A contact time model was developed to describe the particle-particle collision efficiency as a function of the local shear rate, G, and approach angle, θ. This model effectively accounts for the hydrodynamic interactions between approaching particles, which is not explicitly considered in the LKMC framework. For imperfect collisions, the derived collision efficiency [ɛ=1 - ∫(0)(π/2) sinθ exp(-2cotθΓ(agg)/G)dθ] was found to depend only on Γ(agg)∕G, where Γ(agg) is the specified aggregation rate. For aggregating platelets in tube flow, Γ(agg)=0.683 s(-1) predicts the experimentally measured ε across a physiological range (G = 40-1000 s(-1)) and is consistent with α(2b)β(3)-fibrinogen bond dynamics. Aggregation in parabolic flow resulted in the largest aggregates forming near the wall where shear rate and residence time were maximal, however intermediate regions between the wall and the center exhibited the highest aggregation rate due to depletion of reactants nearest the wall. Then, motivated by stenotic or valvular flows, we employed the LKMC simulation developed here for baffled geometries that exhibit regions of squeezing flow and standing recirculation zones. In these calculations, the largest aggregates were formed within the vortices (maximal residence time), while squeezing flow regions corresponded to zones of highest aggregation rate.
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