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International Journal for Uncertainty Quantification
Fator do impacto: 4.911 FI de cinco anos: 3.179 SJR: 1.008 SNIP: 0.983 CiteScore™: 5.2

ISSN Imprimir: 2152-5080
ISSN On-line: 2152-5099

Open Access

International Journal for Uncertainty Quantification

- IN PROGRESS

Sumário:

MULTIFIDELITY MODELING OF IRRADIATED PARTICLE-LADEN TURBULENCE SUBJECT TO UNCERTAINTY
Lluis Jofre, M. Papadakis, P. T. Roy, A. Aiken, G. Iaccarino
pages 499-514
DOI: 10.1615/Int.J.UncertaintyQuantification.2020032236
BAYESIAN INFERENCE OF STOCHASTIC REACTION NETWORKS USING MULTIFIDELITY SEQUENTIAL TEMPERED MARKOV CHAIN MONTE CARLO
Thomas A. Catanach, Huy D. Vo, Brian Munsky
pages 515-542
DOI: 10.1615/Int.J.UncertaintyQuantification.2020033241
ON TRANSFER LEARNING OF NEURAL NETWORKS USING BI-FIDELITY DATA FOR UNCERTAINTY PROPAGATION
Subhayan De, Jolene Britton, Matthew Reynolds, Ryan Skinner, Kenneth Jansen, Alireza Doostan
pages 543-573
DOI: 10.1615/Int.J.UncertaintyQuantification.2020033267
MULTILEVEL MONTE CARLO SAMPLING ON HETEROGENEOUS COMPUTER ARCHITECTURES
Christiane Adcock, Yinyu Ye, Lluis Jofre, Gianluca Iaccarino
pages 575-594
DOI: 10.1615/Int.J.UncertaintyQuantification.2020033179
MFNets: MULTI-FIDELITY DATA-DRIVEN NETWORKS FOR BAYESIAN LEARNING AND PREDICTION
Alex A. Gorodetsky, John D. Jakeman, Gianluca Geraci, Michael S. Eldred
pages 595-622
DOI: 10.1615/Int.J.UncertaintyQuantification.2020032978