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Optimal search methods for selecting distributed species in Gillespie-based kinetic Monte Carlo

Alessandro Trigilio (UGent) , Yoshi Marien (UGent) , Mariya Edeleva (UGent) , Paul Van Steenberge (UGent) and Dagmar D'hooge (UGent)
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Computer Science Applications, General Chemical Engineering, Stochastic modeling, Sampling, Computational efficiency, Distributions, Numerical algorithms, MOLECULAR-WEIGHT DISTRIBUTIONS, FREE-RADICAL COPOLYMERIZATION, SIMULATION, POLYMERIZATION, CHAIN, GROWTH, MODEL, BULK, MICROSTRUCTURE, AGGREGATION

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Please use this url to cite or link to this publication:

MLA
Trigilio, Alessandro, et al. “Optimal Search Methods for Selecting Distributed Species in Gillespie-Based Kinetic Monte Carlo.” COMPUTERS & CHEMICAL ENGINEERING, vol. 158, 2022, doi:10.1016/j.compchemeng.2021.107580.
APA
Trigilio, A., Marien, Y., Edeleva, M., Van Steenberge, P., & D’hooge, D. (2022). Optimal search methods for selecting distributed species in Gillespie-based kinetic Monte Carlo. COMPUTERS & CHEMICAL ENGINEERING, 158. https://doi.org/10.1016/j.compchemeng.2021.107580
Chicago author-date
Trigilio, Alessandro, Yoshi Marien, Mariya Edeleva, Paul Van Steenberge, and Dagmar D’hooge. 2022. “Optimal Search Methods for Selecting Distributed Species in Gillespie-Based Kinetic Monte Carlo.” COMPUTERS & CHEMICAL ENGINEERING 158. https://doi.org/10.1016/j.compchemeng.2021.107580.
Chicago author-date (all authors)
Trigilio, Alessandro, Yoshi Marien, Mariya Edeleva, Paul Van Steenberge, and Dagmar D’hooge. 2022. “Optimal Search Methods for Selecting Distributed Species in Gillespie-Based Kinetic Monte Carlo.” COMPUTERS & CHEMICAL ENGINEERING 158. doi:10.1016/j.compchemeng.2021.107580.
Vancouver
1.
Trigilio A, Marien Y, Edeleva M, Van Steenberge P, D’hooge D. Optimal search methods for selecting distributed species in Gillespie-based kinetic Monte Carlo. COMPUTERS & CHEMICAL ENGINEERING. 2022;158.
IEEE
[1]
A. Trigilio, Y. Marien, M. Edeleva, P. Van Steenberge, and D. D’hooge, “Optimal search methods for selecting distributed species in Gillespie-based kinetic Monte Carlo,” COMPUTERS & CHEMICAL ENGINEERING, vol. 158, 2022.
@article{8735619,
  articleno    = {{107580}},
  author       = {{Trigilio, Alessandro and Marien, Yoshi and Edeleva, Mariya and Van Steenberge, Paul and D'hooge, Dagmar}},
  issn         = {{0098-1354}},
  journal      = {{COMPUTERS & CHEMICAL ENGINEERING}},
  keywords     = {{Computer Science Applications,General Chemical Engineering,Stochastic modeling,Sampling,Computational efficiency,Distributions,Numerical algorithms,MOLECULAR-WEIGHT DISTRIBUTIONS,FREE-RADICAL COPOLYMERIZATION,SIMULATION,POLYMERIZATION,CHAIN,GROWTH,MODEL,BULK,MICROSTRUCTURE,AGGREGATION}},
  language     = {{eng}},
  pages        = {{32}},
  title        = {{Optimal search methods for selecting distributed species in Gillespie-based kinetic Monte Carlo}},
  url          = {{http://dx.doi.org/10.1016/j.compchemeng.2021.107580}},
  volume       = {{158}},
  year         = {{2022}},
}

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