SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Hybrid Process Models in Electrochemical Syntheses under Deep Uncertainty
13 references·0 citing·51 second hopsampled
Hybrid Process Models in Electrochemical Syntheses under Deep Uncertainty (2021)Hybrid Process Models in Electrochemical …Engineering analysis with probability boxes: A review on computational methods (2021)Engineering analysis with pro…The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support (2020)The Future of Sensitivity Ana…Hybrid Modeling and Intensified DoE: An Approach to Accelerate Upstream Process Characterization (2020)Hybrid Modeling and Intensifi…The Bhattacharyya distance: Enriching the P-box in stochastic sensitivity analysis (2019)The Bhattacharyya distance: E…The Impact of Global Sensitivities and Design Measures in Model-Based Optimal Experimental Design (2018)The Impact of Global Sensitiv…Robust Optimization of Dynamical Systems with Correlated Random Variables using the Point Estimate Method ⁎ ⁎Financial support of Promotionsprogramm “μ-Props” by MWK Niedersachsen is gratefully acknowledged. (2018)Robust Optimization of Dynami…Uncertainty propagation of p-boxes using sparse polynomial chaos expansions (2017)Uncertainty propagation of p-…Structural reliability analysis for p-boxes using multi-level meta-models (2017)Structural reliability analys…On the quantification and efficient propagation of imprecise probabilities resulting from small datasets (2017)On the quantification and eff…Imprecise probabilities in engineering analyses (2013)Imprecise probabilities in en…Quantification of margins and uncertainties of complex systems in the presence of aleatoric and epistemic uncertainty (2011)Quantification of margins and…Aleatory or epistemic? Does it matter? (2008)Aleatory or epistemic? Does i…Sensitivity Analysis for Chemical Models (2005)Sensitivity Analysis for Chem…Fuzzy Sets and Systems - Theory and Applications (1980)Fuzzy Set Theory and Its Applications (1993)Fuzzy sets (1996)Advanced Line Sampling for efficient robust reliability analysis (2014)Recent Trends in the Modeling and Quantification of Non-probabilistic Uncertainty (2019)Modern Monte Carlo methods for efficient uncertainty quantification and propagation: A survey (2020)Probability Concepts in Engineering Planning and Design (1975)On The Quantitative Definition of Risk (1981)Probability, reliability and statistical methods in engineering design (1999)An enhanced unified uncertainty analysis approach based on first order reliability method with single-level optimization (2013)Sequential Optimization and Mixed Uncertainty Analysis Method for Reliability-Based Optimization (2013)Quantification of margins and mixed uncertainties using evidence theory and stochastic expansions (2015)The Logic of Scientific Discovery. (1960)Structural Reliability Methods (1996)Logic of Scientific Discovery, The (2010)Reliability-based design optimization using kriging surrogates and subset simulation (2011)Variable importance analysis: A comprehensive review (2015)Statistics for Experimenters (1979)Design and Analysis of Computer Experiments (1989)Factorial Sampling Plans for Preliminary Computational Experiments (1991)From screening to quantitative sensitivity analysis. A unified approach (2011)An overview of methods to evaluate uncertainty of deterministic models in decision support (2014)Stochastic Finite Elements: A Spectral Approach (1991)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)A general frame for uncertainty propagation under multimodally distributed random variables (2020)Basic Framework and Main Methods of Uncertainty Quantification (2020)An extended polynomial chaos expansion for PDF characterization and variation with aleatory and epistemic uncertainties (2021)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)Non-intrusive stochastic analysis with parameterized imprecise probability models: I. Performance estimation (2019)Non-intrusive stochastic analysis with parameterized imprecise probability models: II. Reliability and rare events analysis (2019)A unified formalism of the GE-GDEE for generic continuous responses and first-passage reliability analysis of multi-dimensional nonlinear systems subjected to non-white-noise excitations (2022)Fuzzy sets (1965)Alternative Ways of Assessing Model Fit (1992)Computing tight bounds of structural reliability under imprecise probabilistic information (2018)Operator norm theory as an efficient tool to propagate hybrid uncertainties and calculate imprecise probabilities (2020)Experimental design and optimization (1998)Response surface analysis and simulation as a tool for bioprocess design and optimization (2000)Design of experiments applications in bioprocessing: Concepts and approach (2013)Digital Twin Application for Model-Based DoE to Rapidly Identify Ideal Process Conditions for Space-Time Yield Optimization (2021)ASSESSMENT OF DATA COLLECTION TECHNIQUES IN MANUFACTURING AND MECHANICAL ENGINEERING THROUGH MACHINE LEARNING MODELS (2023)Learning and optimization under epistemic uncertainty with Bayesian hybrid models (2023)Why Most Published Research Findings Are False (2005)Global Sensitivity Analysis. The Primer (2007)Sensitivity analysis: A discipline coming of age (2021)Enhancing the explainability of regression-based polynomial chaos expansion by Shapley additive explanations (2022)Toward SALib 2.0: Advancing the accessibility and interpretability of global sensitivity analyses (2022)Estimation of small failure probabilities in high dimensions by subset simulation (2001)Constructing Probability Boxes and Dempster-Shafer Structures (2003)From inference to design: A comprehensive framework for uncertainty quantification in engineering with limited information (2021)An efficient extreme value moment method combining adaptive Kriging model for time-variant imprecise reliability analysis (2022)A survey on machine learning approaches for uncertainty quantification of engineering systems (2025)
this work references cited by second hop· second hop is a sample of the most-cited connections

References

  • 2008Aleatory or epistemic? Does it matter?2,450 cited
  • 2005Sensitivity Analysis for Chemical Models643 cited
  • 2020The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support632 cited
  • 2013Imprecise probabilities in engineering analyses505 cited
  • 2021Engineering analysis with probability boxes: A review on computational methods142 cited
  • 2017Structural reliability analysis for p-boxes using multi-level meta-models110 cited
  • 2017On the quantification and efficient propagation of imprecise probabilities resulting from small datasets97 cited
  • 2017Uncertainty propagation of p-boxes using sparse polynomial chaos expansions72 cited
  • 2011Quantification of margins and uncertainties of complex systems in the presence of aleatoric and epistemic uncertainty65 cited
  • 2020Hybrid Modeling and Intensified DoE: An Approach to Accelerate Upstream Process Characterization60 cited
  • 2019The Bhattacharyya distance: Enriching the P-box in stochastic sensitivity analysis46 cited
  • 2018The Impact of Global Sensitivities and Design Measures in Model-Based Optimal Experimental Design42 cited
  • 2018Robust Optimization of Dynamical Systems with Correlated Random Variables using the Point Estimate Method ⁎ ⁎Financial support of Promotionsprogramm “μ-Props” by MWK Niedersachsen is gratefully acknowledged.13 cited

Cited by

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

No citing works inside the corpus for this window.