Probability Density Function Modeling
Probability Density Function Modeling is a computational method in turbulent combustion that belongs to the class of statistical modeling techniques, specifically characterized by its use of a probability density function to describe the random fluctuations of thermochemical variables in turbulent reactive flows.
2.8K
Publications
138.1K
Citations
6.6K
Authors
2K
Institutions
Publications per year
2017–2026
531
Variants
Pdf Modeling
Parents
2.8K
1–5 of 2.8K
6.6K
36
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22
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King Abdullah University of Science and Technology, Saudi Arabia
16 publications · 920 citations
13
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12
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11
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1–5 of 6.6K
2K

Cornell University
Ithaca, United States
35 h-index
103 publications
9K citations

Imperial College London
London, United Kingdom
29 h-index
83 publications
4.8K citations

Centre National de la Recherche Scientifique
Paris, France
28 h-index
129 publications
5.5K citations

Universidade Federal de Pernambuco
Recife, Brazil
20 h-index
49 publications
2K citations
Stanford University
Stanford, United States
19 h-index
55 publications
5.3K citations
Tsinghua University
Beijing, China
18 h-index
81 publications
3.5K citations
University of Cambridge
Cambridge, United Kingdom
17 h-index
44 publications
2.6K citations
University of California San Diego
San Diego, United States
17 h-index
39 publications
3.5K citations
1–8 of 2K
50 publications · 3.1K citations
33
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39 publications · 2.7K citations
27
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41 publications · 1.9K citations
26
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39 publications · 2.1K citations
25
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39 publications · 2.5K citations
25
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