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International Journal for Uncertainty Quantification

International Journal for Uncertainty Quantification

Free Online Access

ISSN 印刷: 2152-5080
ISSN オンライン: 2152-5099

近刊の記事

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

Adrian Padilla-Segarra
ONERA and INSA Toulouse

Pascal Noble
INSA Toulouse

Olivier Roustant
INSA Toulouse

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

Chun-Yi Chang
Michigan State University

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

Seungchan Ko
Inha University

Guanglian Li
The University of Hong Kong

Yi Yu
Guangxi University

DOI: 10.1615/Int.J.UncertaintyQuantification.2026058355

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