| 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 | 55 | 2019 |
| 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 | 42 | 2020 |
| 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 | 42 | 2014 |
| Dual-primal domain decomposition method for uncertainty quantification W Subber, A Sarkar Computer Methods in Applied Mechanics and Engineering 266, 112-124, 2013 | 28 | 2013 |
| 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 | 27 | 2019 |
| 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 | 25 | 2016 |
| 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 | 23 | 2019 |
| Schwarz preconditioners for stochastic elliptic PDEs W Subber, S Loisel Computer Methods in Applied Mechanics and Engineering 272, 34-57, 2014 | 23 | 2014 |
| 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 | 17 | 2021 |
| 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 | 17 | 2019 |
| Domain decomposition method of stochastic PDEs: a two-level scalable preconditioner W Subber, A Sarkar Journal of Physics: Conference Series 341 (1), 012033, 2012 | 16 | 2012 |
| Domain decomposition methods for uncertainty quantification W Subber Carleton University, 2013 | 15 | 2013 |
| 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 | 14 | 2022 |
| 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 | 13 | 2017 |
| 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 | 13 | 2009 |
| 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 | 12 | 2020 |
| Primal and dual-primal iterative substructuring methods of stochastic PDEs W Subber, A Sarkar Journal of Physics: Conference Series 256 (1), 012001, 2010 | 9 | 2010 |
| Domain decomposition methods of stochastic PDEs W Subber, A Sarkar Domain Decomposition Methods in Science and Engineering XX, 191-198, 2013 | 8 | 2013 |
| 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 Modeling, 2008 | 7 | 2008 |
| Data-based discovery of governing equations W Subber, P Pandita, S Ghosh, G Khan, L Wang, R Ghanem arXiv preprint arXiv:2012.06036, 2020 | 5 | 2020 |
Abhijit SarkarCarleton UniversityVerified email at carleton.ca
