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International Journal for Uncertainty Quantification
IF: 4.911 5-Year IF: 3.179 SJR: 1.008 SNIP: 0.983 CiteScore™: 5.2

ISSN Print: 2152-5080
ISSN Online: 2152-5099

Open Access

International Journal for Uncertainty Quantification

Forthcoming Articles:

MULTI-FIDELITY ESTIMATORS FOR CORONARY CIRCULATION MODELS UNDER CLINICALLY-INFORMED DATA UNCERTAINTY
Jongmin Seo, Casey Fleeter, Andrew Kahn , Alison Marsden, Daniele Schiavazzi
DOI: 10.1615/Int.J.UncertaintyQuantification.2020033068
Inverse Uncertainty Quantification of a cell model using a Gaussian Process metamodel
Kevin de Vries, Anna Nikishova, Benjamin Czaja, Gábor Závodszky, Alfons Hoekstra
DOI: 10.1615/Int.J.UncertaintyQuantification.2020033186
Yield Optimization based on Adaptive Newton-Monte Carlo and Polynomial Surrogates
Mona Fuhrländer, Niklas Georg, Ulrich Römer, Sebastian Schöps
DOI: 10.1615/Int.J.UncertaintyQuantification.2020033344
Data-Driven Calibration of P3D Hydraulic Fracturing Models
Souleymane Zio, Fernando A. Rochinha
DOI: 10.1615/Int.J.UncertaintyQuantification.2020033602
A multi-fidelity neural network surrogate sampling method for uncertainty quantification
Mohammad Motamed
DOI: 10.1615/Int.J.UncertaintyQuantification.2020031957
Multi-Fidelity modeling of Probabilistic Aerodynamic Databases for Use in Aerospace Engineering
Jayant Mukhopadhaya, Brian Whitehead, John Quindlen, Juan Alonso, Andrew Cary
DOI: 10.1615/Int.J.UncertaintyQuantification.2020032841
Solving Stochastic Inverse Problems using Approximate Push-forward Densities based on a Multi-fidelity Monte Carlo Method
Lukas Bruder, Michael Gee, Timothy Wildey
DOI: 10.1615/Int.J.UncertaintyQuantification.2020030092