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Semi-intrusive multiscale metamodelling uncertainty quantification with application to a model of in-stent restenosis
6 references·2 citing·31 second hop
Semi-intrusive multiscale metamodelling uncertainty quantification with application to a model of in-stent restenosis (2019)Semi-intrusive multiscale metamodelling u…Mastering the scales: a survey on the benefits of multiscale computing software (2019)Mastering the scales: a surve…Uncertainty Quantification of a Multiscale Model for In-Stent Restenosis (2018)Uncertainty Quantification of…Uncertainty Quantification: Theory, Implementation, and Applications (2013)Uncertainty Quantification: T…Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)Variance based sensitivity an…Stochastic Approaches to Uncertainty Quantification in CFD Simulations (2005)Stochastic Approaches to Unce…Sensitivity measures,anova-like Techniques and the use of bootstrap (1997)Sensitivity measures,anova-li…VECMAtk: a scalable verification, validation and uncertainty quantification toolkit for scientific simulations (2021)VECMAtk: a scalable verificat…Uncertainty Quantification for Multiscale Fusion Plasma Simulations with VECMA Toolkit (2020)Uncertainty Quantification fo…Stochastic Finite Elements: A Spectral Approach (1991)Verification and Validation in Computational Science and Engineering (1998)The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations (2002)Probabilistic collocation method for flow in porous media: Comparisons with other stochastic methods (2007)Point-Collocation Nonintrusive Polynomial Chaos Method for Stochastic Computational Fluid Dynamics (2010)Stochastic finite element methods for partial differential equations with random input data (2014)Design and Analysis of Computer Experiments (1989)Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates (2001)Global Sensitivity Analysis. The Primer (2007)How to avoid a perfunctory sensitivity analysis (2010)Sensitivity analysis of environmental models: A systematic review with practical workflow (2016)SALib: An open-source Python library for Sensitivity Analysis (2017)Study of the sensitivity of coupled reaction systems to uncertainties in rate coefficients. I Theory (1973)Efficient input—output model representations (1999)Theorems and examples on high dimensional model representation (2003)From screening to quantitative sensitivity analysis. A unified approach (2011)Error and uncertainty in modeling and simulation (2002)Deaths: final data for 2010. (2013)Uncertainty quantification patterns for multiscale models (2021)Uncertainty quantification of a three-dimensional in-stent restenosis model with surrogate modelling (2022)The architecture of the Earth System Modeling Framework (2004)Scientific workflow management and the Kepler system (2005)AiiDA: automated interactive infrastructure and database for computational science (2015)Socio-technical scales in socio-environmental modeling: Managing a system-of-systems modeling approach (2020)Global sensitivity analysis using polynomial chaos expansions (2007)Verification and Validation in Scientific Computing (2010)A comprehensive framework for verification, validation, and uncertainty quantification in scientific computing (2011)UQLab: A Framework for Uncertainty Quantification in Matlab (2014)A unified framework for stochastic optimization (2018)Modern Monte Carlo methods for efficient uncertainty quantification and propagation: A survey (2020)A state-of-the-art review on uncertainty analysis of rotor systems (2022)
this work references cited by second hop

References

  • 2009Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index3,567 cited
  • 2013Uncertainty Quantification: Theory, Implementation, and Applications1,147 cited
  • 1997Sensitivity measures,anova-like Techniques and the use of bootstrap546 cited
  • 2005Stochastic Approaches to Uncertainty Quantification in CFD Simulations281 cited
  • 2019Mastering the scales: a survey on the benefits of multiscale computing software37 cited
  • 2018Uncertainty Quantification of a Multiscale Model for In-Stent Restenosis26 cited

Cited by

  • 2021VECMAtk: a scalable verification, validation and uncertainty quantification toolkit for scientific simulations30 cited
  • 2020Uncertainty Quantification for Multiscale Fusion Plasma Simulations with VECMA Toolkit11 cited

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