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

Authors

64

  1. KV
    Krist V. Gernaey

    Technical University of Denmark, Denmark

    2 publications · 73 citations

    2

    h-index

  2. PD
    Prosenjit D. Chaudhuri

    Carnegie Mellon University, United States

    2 publications · 70 citations

    2

    h-index

  3. MK
    Marta Kwiatkowska

    University of Oxford, United Kingdom

    2 publications · 74 citations

    2

    h-index

  4. GS
    Gürkan Sin

    Technical University of Denmark, Denmark

    2 publications · 73 citations

    2

    h-index

  5. UP
    U.S. Panu

    Lakehead University, Canada

    2 publications · 35 citations

    2

    h-index

1–5 of 64

Venues

  1. Computers & Chemical Engineering

    4 publications · 278 citations

    4

    h-index

  2. AIChE Journal

    3 publications · 100 citations

    3

    h-index

  3. Industrial & Engineering Chemistry Research

    2 publications · 75 citations

    2

    h-index

  4. Journal of Hydrology

    2 publications · 35 citations

    2

    h-index

  5. Nonlinear Analysis Hybrid Systems

    1 publications · 22 citations

    1

    h-index

1–5