Reducing statistical noise and extending the size spectrum by applying weighted simulation particles in monte carlo simulation of coagulation

Aerosol Science and Technology

Volumn 43, Issue 8, 2009, Pages 781-793

  Zhao, Haibo ^a,b   Kruis, F Einar ^b   Zheng, Chuguang ^a  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b UNIVERSITY OF DUISBURG ESSEN   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ANALYTICAL SOLUTIONS; BROAD SIZE DISTRIBUTION; DIFFERENT SIZES; DIRECT SIMULATION MONTE CARLO METHOD; DISPERSED SYSTEMS; DSMC METHOD; JUMP MARKOV PROCESS; KEY ELEMENTS; LOW NOISE; MICROSCOPIC DYNAMICS; MONTE CARLO; MONTE CARLO SIMULATION; NUMBER CONCENTRATION; POPULATION BALANCE EQUATION; SIZE RANGES; SIZE SPECTRUM; STATISTICAL NOISE;

MARKOV PROCESSES; MONTE CARLO METHODS; SIZE DISTRIBUTION;

COAGULATION;

AEROSOL; ARTICLE; DYNAMICS; INTERMETHOD COMPARISON; METHODOLOGY; MONTE CARLO METHOD; PARTICLE SIZE; POPULATION BALANCE MODEL; PRIORITY JOURNAL; PROBABILITY; STATISTICAL MODEL;

EID: 67651154400     PISSN: 02786826     EISSN: 15217388     Source Type: Journal    
DOI: 10.1080/02786820902939708     Document Type: Article

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