Accelerating population balance-Monte Carlo simulation for coagulation dynamics from the Markov jump model, stochastic algorithm and GPU parallel computing

DOI10.1016/J.JCP.2014.10.055zbMath1351.82094OpenAlexW1987535657MaRDI QIDQ728816

Zuwei Xu, Chu-Guang Zheng, Hai-Bo Zhao

Publication date: 20 December 2016

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

Full work available at URL: https://doi.org/10.1016/j.jcp.2014.10.055

zbMATH Keywords

Monte CarlocoagulationMarkov jumppopulation balanceGPU parallel computingmajorant kernel

Mathematics Subject Classification ID

Computational methods in Markov chains (60J22) Monte Carlo methods (65C05) Interacting particle systems in time-dependent statistical mechanics (82C22) Numerical algorithms for specific classes of architectures (65Y10)

Related Items (4)

Parallelization strategies for computational fluid dynamics software: state of the art review ⋮ Direct simulation Monte Carlo for new regimes in aggregation-fragmentation kinetics ⋮ Event-driven sorting algorithm-based Monte Carlo method with neighbour merging method for solving aerosol dynamics ⋮ Parallel performance analysis of coupled heat and fluid flow in parallel plate channel using CUDA

Cites Work

• Weighted Flow Algorithms (WFA) for stochastic particle coagulation
• Stochastic weighted particle methods for population balance equations
• The event-driven constant volume method for particle coagulation dynamics
• A new event-driven constant-volume method for solution of the time evolution of particle size distribution
• A parallel Monte Carlo method for population balance modeling of particulate processes using bookkeeping strategy
• An efficient stochastic algorithm for simulating nano-particle dynamics
• Stochastic particle approximations for Smoluchowski's coagulation equation
• A stochastic approach for the numerical simulation of the general dynamics equation for aerosols.
• A population balance-Monte Carlo method for particle coagulation in spatially inhomogeneous systems
• Multi-Monte Carlo method for particle coagulation: description and validation
• A differentially weighted Monte Carlo method for two-component coagulation
• An Efficient Stochastic Algorithm for Studying Coagulation Dynamics and Gelation Phenomena
• A quasi–Monte Carlo scheme for Smoluchowski’s coagulation equation
• A quasi-stochastic simulation of the general dynamics equation for aerosols
• A Guide to Monte Carlo Simulations in Statistical Physics

This page was built for publication: Accelerating population balance-Monte Carlo simulation for coagulation dynamics from the Markov jump model, stochastic algorithm and GPU parallel computing