Monte carlo simulation for aggregative mixing of nanoparticles in two-component systems

Industrial and Engineering Chemistry Research

Volumn 50, Issue 18, 2011, Pages 10652-10664

  Zhao, Haibo ^a   Kruis, Frank 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

BROWNIAN COAGULATION; COMPOSITIONAL DISTRIBUTION; COMPUTATIONAL DEMANDS; DEGREE OF MIXING; DENSELY POPULATED REGIONS; DYNAMIC EVOLUTION; HIGH TEMPERATURE; HIGH-DIMENSIONAL; JOINT SPACE; MIXING PROCESS; MONO-COMPONENT; MONTE CARLO SIMULATION; MULTICOMPONENTS; MULTIPLE COMPONENTS; NONREACTIVE SYSTEMS; POPULATION BALANCE MODELING; POWER DENSITIES; SAMPLE SPACE; STATISTICAL NOISE; THEORETICAL MODELS; TIME EVOLUTIONS; TWO COMPONENT SYSTEMS; WEIGHTED MONTE CARLO;

COAGULATION; COMPUTER SIMULATION; MIXING; MONTE CARLO METHODS; NANOPARTICLES; PARTICLE SIZE ANALYSIS;

AGGLOMERATION;

EID: 80052830426     PISSN: 08885885     EISSN: 15205045     Source Type: Journal    
DOI: 10.1021/ie200780q     Document Type: Article

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