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International Journal for Uncertainty Quantification
Free Online Access

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

Forthcoming Articles

Physics-informed, boundary-constrained Gaussian process regression for the reconstruction of fluid flow fields Adrian Padilla-Segarra, Pascal Noble, Olivier Roustant, Eric Savin
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Adrian Padilla-Segarra
ONERA and INSA Toulouse

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Pascal Noble
INSA Toulouse

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Olivier Roustant
INSA Toulouse

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Eric Savin
ONERA

DOI: 10.1615/Int.J.UncertaintyQuantification.2026063515
Deep Intrinsic Coregionalization Multi-Output Gaussian Process Surrogate with Active Learning Chun-Yi Chang, Chih-Li Sung
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Chun-Yi Chang
Michigan State University

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Chih-Li Sung
Michigan State University

DOI: 10.1615/Int.J.UncertaintyQuantification.2026062570
Quasi-Monte Carlo finite element approximation of the Navier--Stokes equations with initial data modeled by log-normal random fields Seungchan Ko, Guanglian Li, Yi Yu
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Seungchan Ko
Inha University

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Guanglian Li
The University of Hong Kong

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Yi Yu
Guangxi University

DOI: 10.1615/Int.J.UncertaintyQuantification.2026058355
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