Direct simulation Monte Carlo method for particle coagulation and aggregation

By F. Kruis, A. Maisels, H. Fissan. 2000

195 citations recorded by the source corpus.

Subfields: Ocean Engineering, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/65509745caf3a275ecc0caea9f6653fbf49df640

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ocean Engineering

1. Chuguang Zheng
2. Haibo Zhao
3. F. Kruis

In Water Science and Technology

1. Chuguang Zheng
2. Haibo Zhao
3. R. Easter
4. F. Kruis
5. Nicole Riemer
6. Matthew West
7. R. Zaveri

Citations in the corpus

• Reducing Statistical Noise and Extending the Size Spectrum by Applying Weighted Simulation Particles in Monte Carlo Simulation of Coagulation (2009, methodology): “Kruis et al. (2000) proposed a fast event-driven DSMC that uses smart bookkeeping to avoid a large number of re-calculations of the coagulation rates of particles not participating in coagulation.”
• Simulating the evolution of soot mixing state with a particle-resolved aerosol model (2008, methodology): “Despite these difficulties, Gillespie’s method is by far the most commonly used method in practice, with many slight variants appearing in the literature [e.g., see Efendiev and Zachariah, 2002; Kruis et al., 2000; Garcia et al., 1987; Fichthorn and Weinberg, 1991].”