Non-parametric correlative uncertainty quantification and sensitivity analysis: Application to a Langmuir bimolecular adsorption model

Non-parametric correlative uncertainty quantification and sensitivity analysis: Application to a Langmuir bimolecular adsorption model

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We propose non-parametric methods for both local and global sensitivity analysis of chemical reaction models with correlated parameter Rangemaster lkd110dffsl Leckford Deluxe 110cm Dual Fuel Range Cooker dependencies.The developed mathematical and statistical tools are applied to a benchmark Langmuir competitive adsorption model on a close packed platinum surface, whose parameters, estimated from quantum-scale computations, are correlated and are limited in size (small data).The proposed mathematical methodology employs gradient-based methods to compute sensitivity indices.

We Turner Signal Wire observe that ranking influential parameters depends critically on whether or not correlations between parameters are taken into account.The impact of uncertainty in the correlation and the necessity of the proposed non-parametric perspective are demonstrated.