1.
An Uncertainty Quantification Framework for Studying the Effect of Spatial Heterogeneity in Reservoir Permeability on CO2 Sequestration
by Hou, Zhangshuan
Mathematical geosciences, 2013-05-07, Vol.45 (7), p.799-817
2.
Stochastic analysis of the fracture toughness of polymeric nanoparticle composites using polynomial chaos expansions
by Hamdia, Khader M
International journal of fracture, 2017-04-25, Vol.206 (2), p.215-227
3.
Uncertainty quantification in coronary blood flow simulations: Impact of geometry, boundary conditions and blood viscosity
by Sankaran, Sethuraman
Journal of biomechanics, 2016, Vol.49 (12), p.2540-2547
4.
Uncertainty quantification and management in additive manufacturing: current status, needs, and opportunities
by Hu, Zhen
International journal of advanced manufacturing technology, 2017-07-08, Vol.93 (5-8), p.2855-2874
5.
Uncertainty Quantification in Multiscale Simulation of Materials: A Prospective
by Chernatynskiy, Aleksandr
Annual review of materials research, 2013-07-01, Vol.43 (1), p.157-182
6.
Large scale tensor regression using kernels and variational inference
by Hu, Robert
Machine learning, 2021-11-09
7.
A novel application of an analog ensemble for short-term wind power forecasting
by Alessandrini, S.
Renewable energy, 2015-04-01, Vol.76, p.768-781
8.
Uncertainty propagation through an aeroelastic wind turbine model using polynomial surrogates
by Murcia, Juan Pablo
Renewable energy, 2018-04, Vol.119, p.910-922
9.
Integrated parameter and tolerance optimization of a centrifugal compressor based on a complex simulator
by Han, Mei
Journal of quality technology, 2020-10-01, Vol.52 (4), p.404-421
10.
Review of statistical model calibration and validation—from the perspective of uncertainty structures
by Lee, Guesuk
Structural and multidisciplinary optimization, 2019-05-09, Vol.60 (4), p.1619-1644
11.
A robust optimization approach based on multi-fidelity metamodel
by Zhou, Qi
Structural and multidisciplinary optimization, 2017-08-16, Vol.57 (2), p.775-797
12.
Mixed-input Gaussian process emulators for computer experiments with a large number of categorical levels
by Zhang, Qiong
Journal of quality technology, 2021-08-08, Vol.53 (4), p.410-420
13.
Development and validation of a dynamic metamodel based on stochastic radial basis functions and uncertainty quantification
by Volpi, Silvia
Structural and multidisciplinary optimization, 2014-08-07, Vol.51 (2), p.347-368
14.
Uncertainty propagation through an aeroelastic wind turbine model using polynomial surrogates
by Murcia, Juan Pablo
Renewable energy, 2017-07-17, Vol.119 (C)
15.
Wind resource estimates with an analog ensemble approach
by Vanvyve, Emilie
Renewable energy, 2015-02, Vol.74, p.761-773
16.
Reliability-based design optimization under sampling uncertainty: shifting design versus shaping uncertainty
by Bae, Sangjune
Structural and multidisciplinary optimization, 2018-02-24, Vol.57 (5), p.1845-1855
17.
Surrogate-assisted global sensitivity analysis: an overview
by Cheng, Kai
Structural and multidisciplinary optimization, 2020-01-17, Vol.61 (3), p.1187-1213
18.
Inverse uncertainty quantification for imprecise structure based on evidence theory and similar system analysis
by Cao, Lixiong
Structural and multidisciplinary optimization, 2021-07-15, Vol.64 (4), p.2183-2198
19.
Data driven conditional optimal transport
by Tabak, Esteban G
Machine learning, 2021-10-01, Vol.110 (11-12), p.3135-3155
20.
Representing Spatial Uncertainty Using Distances and Kernels
by Scheidt, Céline
Mathematical geosciences, 2008-09-24, Vol.41 (4), p.397-419
