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Waad Subber
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Data-driven discovery of free-form governing differential equations
S Atkinson, W Subber, L Wang, G Khan, P Hawi, R Ghanem
arXiv preprint arXiv:1910.05117, 2019
482019
Advances in bayesian probabilistic modeling for industrial applications
S Ghosh, P Pandita, S Atkinson, W Subber, Y Zhang, NC Kumar, ...
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B …, 2020
372020
A domain decomposition method of stochastic PDEs: An iterative solution techniques using a two-level scalable preconditioner
W Subber, A Sarkar
Journal of Computational Physics 257, 298-317, 2014
362014
Dual-primal domain decomposition method for uncertainty quantification
W Subber, A Sarkar
Computer Methods in Applied Mechanics and Engineering 266, 112-124, 2013
272013
Schwarz preconditioners for stochastic elliptic PDEs
W Subber, S Loisel
Computer Methods in Applied Mechanics and Engineering 272, 34-57, 2014
222014
A strategy for adaptive sampling of multi-fidelity gaussian processes to reduce predictive uncertainty
S Ghosh, J Kristensen, Y Zhang, W Subber, L Wang
International Design Engineering Technical Conferences and Computers and …, 2019
212019
Asynchronous space–time algorithm based on a domain decomposition method for structural dynamics problems on non-matching meshes
W Subber, K Matouš
Computational Mechanics 57, 211-235, 2016
212016
Chemo-thermal model and Gaussian process emulator for combustion synthesis of Ni/Al composites
M Shabouei, W Subber, CW Williams, K Matouš, JM Powers
Combustion and Flame 207, 153-170, 2019
202019
Industrial applications of intelligent adaptive sampling methods for multi-objective optimization
J Kristensen, W Subber, Y Zhang, S Ghosh, NC Kumar, G Khan, L Wang
Design and Manufacturing, 2019
172019
Domain decomposition method of stochastic PDEs: a two-level scalable preconditioner
W Subber, A Sarkar
Journal of Physics: Conference Series 341 (1), 012033, 2012
162012
Domain decomposition methods for uncertainty quantification
W Subber
Carleton University, 2013
152013
Domain decomposition of stochastic PDEs: A novel preconditioner and its parallel performance
W Subber, A Sarkar
International Symposium on High Performance Computing Systems and …, 2009
132009
Remarks for scaling up a general gaussian process to model large dataset with sub-models
Y Zhang, S Ghosh, P Pandita, W Subber, G Khan, L Wang
AIAA Scitech 2020 Forum, 0678, 2020
122020
Asynchronous space–time domain decomposition method with localized uncertainty quantification
W Subber, K Matouš
Computer Methods in Applied Mechanics and Engineering 325, 369-394, 2017
122017
A two-mechanism and multiscale compatible approach for solid state electrolytes of (Li-ion) batteries
L Cabras, D Danilov, W Subber, V Oancea, A Salvadori
Journal of Energy Storage 48, 103842, 2022
112022
Bayesian-entropy gaussian process for constrained metamodeling
Y Wang, Y Gao, Y Liu, S Ghosh, W Subber, P Pandita, L Wang
Reliability Engineering & System Safety 214, 107762, 2021
92021
Primal and dual-primal iterative substructuring methods of stochastic PDEs
W Subber, A Sarkar
Journal of Physics: Conference Series 256 (1), 012001, 2010
92010
Domain decomposition methods of stochastic PDEs
W Subber, A Sarkar
Domain Decomposition Methods in Science and Engineering XX, 191-198, 2013
82013
A scalable parallel uncertainty analysis and data assimilation framework applied to some hydraulic problems
W Subber, H Monajemi, M Khalil, A Sarkar
International Symposium on Uncertainties in Hydrologic and Hydraulic …, 2008
72008
Efficient bayesian inverse method using robust gaussian processes for design under uncertainty
S Ghosh, P Pandita, W Subber, Y Zhang, L Wang
AIAA Scitech 2020 Forum, 1877, 2020
52020
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