Direct Simulation and Mass Flow Stochastic Algorithms to Solve a Sintering-Coagulation Equation

DOI10.1515/156939605777585980zbMath1076.82028OpenAlexW2044915833MaRDI QIDQ5315936

Markus Kraft, Clive G. Wells

Publication date: 12 September 2005

Published in: Monte Carlo Methods and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1515/156939605777585980

zbMATH Keywords

stochastic processesMonte Carlo methodsparticle size distributionsintering-coagulation

Mathematics Subject Classification ID

Related Items (7)

A new iterative scheme for solving the discrete Smoluchowski equation ⋮ Weighted Flow Algorithms (WFA) for stochastic particle coagulation ⋮ Direct expansion method of moments with n/3th moments for nanoparticle Brownian coagulation in the free molecule regime ⋮ Stochastic weighted particle methods for population balance equations ⋮ Modelling nanoparticle dynamics: coagulation, sintering, particle inception and surface growth ⋮ A stochastic approach for simulating spatially inhomogeneous coagulation dynamics in the gelation regime ⋮ A new numerical approach for the simulation of the growth of inorganic nanoparticles

Cites Work

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• Existence of gelling solutions for coagulation-fragmentation equations
• Smoluchowski's coagulation equation: Uniqueness, nonuniqueness and a hydrodynamic limit for the stochastic coalescent
• Stochastic interacting particle systems and nonlinear kinetic equations
• Stochastic particle approximations for Smoluchowski's coagulation equation
• On a Monte Carlo scheme for Smoluchowski’s coagulation equation
• Stochastic particle methods for Smoluchowski coagulation equation: variance reduction and error estimations
• Approximative solution of the coagulation–fragmentation equation by stochastic particle systems

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