Weighted Flow Algorithms (WFA) for stochastic particle coagulation

DOI10.1016/j.jcp.2011.07.027zbMath1236.86006OpenAlexW2036572669WikidataQ62702222 ScholiaQ62702222MaRDI QIDQ414013

Nicole Riemer, R. E. Lee Deville, Matthew West

Publication date: 8 May 2012

Published in: Journal of Computational Physics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jcp.2011.07.027

zbMATH Keywords

stochastic simulationsparticle methodsSmoluchowski equationsaerosol modelingmultiscale numerics

Mathematics Subject Classification ID

Particle methods and lattice-gas methods (76M28) Meteorology and atmospheric physics (86A10) Computational methods for problems pertaining to geophysics (86-08) Stochastic particle methods (65C35)

Related Items (9)

A population balance-Monte Carlo method for particle coagulation in spatially inhomogeneous systems ⋮ Stochastic weighted particle methods for population balance equations with coagulation, fragmentation and spatial inhomogeneity ⋮ Application of stochastic weighted algorithms to a multidimensional silica particle model ⋮ Event-driven sorting algorithm-based Monte Carlo method with neighbour merging method for solving aerosol dynamics ⋮ Weighted Flow Algorithms (WFA) for stochastic particle coagulation ⋮ A hybrid particle-number and particle model for efficient solution of population balance equations ⋮ Error analysis in stochastic solutions of population balance equations ⋮ Accelerating population balance-Monte Carlo simulation for coagulation dynamics from the Markov jump model, stochastic algorithm and GPU parallel computing ⋮ Accelerated simulation of stochastic particle removal processes in particle-resolved aerosol models

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