A new event-driven constant-volume method for solution of the time evolution of particle size distribution

DOI10.1016/j.jcp.2008.10.033zbMath1156.82368OpenAlexW1978886093MaRDI QIDQ1005377

Hai-Bo Zhao, Chu-Guang Zheng

Publication date: 9 March 2009

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

Full work available at URL: https://doi.org/10.1016/j.jcp.2008.10.033

zbMATH Keywords

coagulationparticulate processesbreakagepopulation balance modelingdifferentially weighting

Mathematics Subject Classification ID

Related Items (8)

Low-rank method for fast solution of generalized Smoluchowski equations ⋮ A population balance-Monte Carlo method for particle coagulation in spatially inhomogeneous systems ⋮ A differentially weighted Monte Carlo method for two-component coagulation ⋮ Event-driven sorting algorithm-based Monte Carlo method with neighbour merging method for solving aerosol dynamics ⋮ Weighted Flow Algorithms (WFA) for stochastic particle coagulation ⋮ Error analysis in stochastic solutions of population balance equations ⋮ A parallel Monte Carlo method for population balance modeling of particulate processes using bookkeeping strategy ⋮ Accelerating population balance-Monte Carlo simulation for coagulation dynamics from the Markov jump model, stochastic algorithm and GPU parallel computing

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