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Global Sensitivity Analysis of Large Reaction Mechanisms Using Fourier Amplitude Sensitivity Test
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Global Sensitivity Analysis of Large Reaction Mechanisms Using Fourier Amplitude Sensitivity Test (2018)Global Sensitivity Analysis of Large Reac…Accelerate global sensitivity analysis using artificial neural network algorithm: Case studies for combustion kinetic model (2016)Accelerate global sensitivity…Combustion kinetic model uncertainty quantification, propagation and minimization (2014)Combustion kinetic model unce…Global Sensitivity Analysis of Chemical-Kinetic Reaction Mechanisms: Construction and Deconstruction of the Probability Density Function (2011)Global Sensitivity Analysis o…A global sensitivity study of sulfur chemistry in a premixed methane flame model using HDMR (2008)A global sensitivity study of…Local and global uncertainty analysis of complex chemical kinetic systems (2006)Local and global uncertainty …Practical Approaches To Construct RS-HDMR Component Functions (2002)Practical Approaches To Const…Global uncertainty assessments by high dimensional model representations (HDMR) (2002)Global uncertainty assessment…High Dimensional Model Representations (2001)High Dimensional Model Repres…Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates (2001)Global sensitivity indices fo…A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output (1999)A Quantitative Model-Independ…Automatic sensitivity analysis of kinetic mechanisms (1979)Automatic sensitivity analysi…Study of the sensitivity of coupled reaction systems to uncertainties in rate coefficients. I Theory (1973)Study of the sensitivity of c…Factorial Sampling Plans for Preliminary Computational Experiments (1991)Stochastic free vibration analysis of angle-ply composite plates – A RS-HDMR approach (2014)Facilitating Bayesian analysis of combustion kinetic models with artificial neural network (2019)Stochastic Finite Elements: A Spectral Approach (1991)Global Sensitivity Analysis (1995)General formulation of HDMR component functions with independent and correlated variables (2011)Metamodel based high-fidelity stochastic analysis of composite laminates: A concise review with critical comparative assessment (2017)Efficient input—output model representations (1999)GUI–HDMR – A software tool for global sensitivity analysis of complex models (2008)An adaptive high-dimensional stochastic model representation technique for the solution of stochastic partial differential equations (2010)Global Sensitivity Analysis for Systems with Independent and/or Correlated Inputs (2010)Design and Analysis of Computer Experiments (1989)Uncertainpy: A Python Toolbox for Uncertainty Quantification and Sensitivity Analysis in Computational Neuroscience (2018)General foundations of high‐dimensional model representations (1999)State Dependent Parameter metamodelling and sensitivity analysis (2007)Nonlinear sensitivity analysis of multiparameter model systems (1978)A general first-order global sensitivity analysis method (2007)Update 1 of: Sensitivity Analysis for Chemical Models (2012)An efficient modularized sample-based method to estimate the first-order Sobol׳ index (2016)Importance measures in global sensitivity analysis of nonlinear models (1996)Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)Shared low-dimensional subspaces for propagating kinetic uncertainty to multiple outputs (2017)Meta-modeling based efficient global sensitivity analysis for wastewater treatment plants – An application to the BSM2 model (2019)A new uncertainty importance measure (2006)SALib: An open-source Python library for Sensitivity Analysis (2017)Identification and Review of Sensitivity Analysis Methods (2002)Probabilistic Sensitivity Analysis of Complex Models: A Bayesian Approach (2004)Sensitivity analysis: A review of recent advances (2015)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Global sensitivity analysis using polynomial chaos expansions (2007)
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References

  • 2001Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates6,377 cited
  • 1999A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output2,274 cited
  • 1973Study of the sensitivity of coupled reaction systems to uncertainties in rate coefficients. I Theory1,041 cited
  • 2001High Dimensional Model Representations497 cited
  • 2014Combustion kinetic model uncertainty quantification, propagation and minimization342 cited
  • 2002Practical Approaches To Construct RS-HDMR Component Functions275 cited
  • 2002Global uncertainty assessments by high dimensional model representations (HDMR)179 cited
  • 2008A global sensitivity study of sulfur chemistry in a premixed methane flame model using HDMR124 cited
  • 1979Automatic sensitivity analysis of kinetic mechanisms120 cited
  • 2016Accelerate global sensitivity analysis using artificial neural network algorithm: Case studies for combustion kinetic model101 cited
  • 2006Local and global uncertainty analysis of complex chemical kinetic systems101 cited
  • 2011Global Sensitivity Analysis of Chemical-Kinetic Reaction Mechanisms: Construction and Deconstruction of the Probability Density Function51 cited

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