国际不确定性的量化期刊
每年出版 6 期
ISSN 打印: 2152-5080
ISSN 在线: 2152-5099
IF:
1.7
5-Year IF:
1.9
Immediacy Index:
0.5
Eigenfactor:
0.0007
JCI:
0.5
SJR:
0.584
SNIP:
0.676
CiteScore™::
3
H-Index:
25
Indexed in
卷 10, 2020 册 6
Special Issue: Multilevel-Multifidelity Approaches for Uncertainty Quantification Part 2
Guest Editors: Gianluca Geraci, Gianluca Iaccarino, and Michael Eldred
DOI: 10.1615/Int.J.UncertaintyQuantification.v10.i6
FOREWORD: SPECIAL ISSUE ON MULTILEVEL-MULTIFIDELITY APPROACHES FOR UNCERTAINTY QUANTIFICATION
pp. v-ix
DOI: 10.1615/Int.J.UncertaintyQuantification.v10.i6.10
MULTIFIDELITY MODELING OF IRRADIATED PARTICLE-LADEN TURBULENCE SUBJECT TO UNCERTAINTY
pp. 499-514
DOI: 10.1615/Int.J.UncertaintyQuantification.2020032236
BAYESIAN INFERENCE OF STOCHASTIC REACTION NETWORKS USING MULTIFIDELITY SEQUENTIAL TEMPERED MARKOV CHAIN MONTE CARLO
pp. 515-542
DOI: 10.1615/Int.J.UncertaintyQuantification.2020033241
ON TRANSFER LEARNING OF NEURAL NETWORKS USING BI-FIDELITY DATA FOR UNCERTAINTY PROPAGATION
pp. 543-573
DOI: 10.1615/Int.J.UncertaintyQuantification.2020033267
MULTILEVEL MONTE CARLO SAMPLING ON HETEROGENEOUS COMPUTER ARCHITECTURES
pp. 575-594
DOI: 10.1615/Int.J.UncertaintyQuantification.2020033179
MFNets: MULTI-FIDELITY DATA-DRIVEN NETWORKS FOR BAYESIAN LEARNING AND PREDICTION
pp. 595-622
DOI: 10.1615/Int.J.UncertaintyQuantification.2020032978
最新一期
将发表的论文
EXTREME LEARNING MACHINES FOR VARIANCE-BASED GLOBAL SENSITIVITY ANALYSIS
Application of global sensitivity analysis for identification of probabilistic design spaces
Stochastic Galerkin method and port-Hamiltonian form for linear first-order ordinary differential equations
Analysis of the Challenges in Developing Sample-Based Multi-fidelity Estimators for Non-deterministic Models