Stochastic Process Synthesis
Stochastic Process Synthesis is a process synthesis methodology that incorporates probabilistic models and uncertainty quantification in the design and optimization of chemical processes to account for variability in inputs, parameters, and operating conditions.
29
Publications
1.2K
Citations
64
Authors
33
Institutions
Publications per year
2017–2026
10
Parents
29
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64
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33
Carnegie Mellon University
Pittsburgh, United States
3 h-index
6 publications
290 citations

University of Maribor
Maribor, Slovenia
2 h-index
5 publications
98 citations
University of Oxford
Oxford, United Kingdom
2 h-index
5 publications
152 citations

University of Waterloo
Waterloo, Canada
2 h-index
4 publications
70 citations
Technical University of Denmark
Kongens Lyngby, Denmark
2 h-index
8 publications
292 citations

Imperial College London
London, United Kingdom
2 h-index
4 publications
348 citations
Massachusetts Institute of Technology
Cambridge, United States
2 h-index
3 publications
94 citations
Brno University of Technology
Brno, Czechia
1 h-index
1 publications
48 citations
1–8 of 33
4 publications · 278 citations
4
h-index
3 publications · 100 citations
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2 publications · 75 citations
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2 publications · 35 citations
2
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1 publications · 22 citations
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1–5