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Recent progress of uncertainty quantification in small-scale materials science · Study

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ArticleRecent progress of uncertainty quantification in small-scale materials science

Pınar Acar2020

Article2020

Recent progress of uncertainty quantification in small-scale materials science

38 citations·0/0 files stored·Progress in Materials Science

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Probabilistic and Robust Engineering Design Scientific Measurement and Uncertainty Evaluation Machine Learning in Materials Science

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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 1991Stochastic Finite Elements: A Spectral Approach 2002The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations 2017Structural Reliability Analysis and Prediction 1996Structural Reliability Methods 1977A mathematical theory of evidence 2003Modeling uncertainty in flow simulations via generalized polynomial chaos 2013Uncertainty Quantification: Theory, Implementation, and Applications

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2024Uncertainty Quantification of Microstructures: A Perspective on Forward and Inverse Problems for Mechanical Properties of Aerospace Materials 2023Multi-fidelity microstructure-induced uncertainty quantification by advanced Monte Carlo methods 2024Performance prediction of gas turbine blade with multi-source random factors using active learning-based neural network

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Year2020

Typearticle

Published2020-08-26

VenueProgress in Materials Science

ISSN-L0079-6425

Languageen

Citations38

Files0 public / 0

ShelfProbabilistic and Robust Engineering Design

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doi10.1016/j.pmatsci.2020.100723

openalex_workW3080249834

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