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The Monte Carlo driven and machine learning enhanced process simulator · Study

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ArticleThe Monte Carlo driven and machine learning enhanced process simulator

Mark Jones2019

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Articlegreen2019

The Monte Carlo driven and machine learning enhanced process simulator

Mark Jones · Jérôme Frutiger · Nevin Gerek Ince · Gürkan Sin

15 citations·0/0 files stored·Computers & Chemical Engineering

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Probabilistic and Robust Engineering Design Phase Equilibria and Thermodynamics Process Optimization and Integration

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References

2000A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code 1999An Introduction to Copulas 2007Global Sensitivity Analysis. The Primer 2002The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations 2009Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index 2003Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems 2007Global sensitivity analysis using polynomial chaos expansions 2002Making best use of model evaluations to compute sensitivity indices

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Details

Year2019

Typearticle

Published2019-03-20

VenueComputers & Chemical Engineering

ISSN-L0098-1354

Languageen

Citations15

Files0 public / 0

ShelfProbabilistic and Robust Engineering Design

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doi10.1016/j.compchemeng.2019.03.016

openalex_workW2924207331

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