| Simulation-based optimal Bayesian experimental design for nonlinear systems X Huan, YM Marzouk Journal of Computational Physics 232 (1), 288-317, 2013 | 521 | 2013 |
| Gradient-Based Stochastic Optimization Methods in Bayesian Experimental Design X Huan, YM Marzouk International Journal for Uncertainty Quantification 4 (6), 479-510, 2014 | 148 | 2014 |
| Uncertainty quantification in machine learning for engineering design and health prognostics: A tutorial V Nemani, L Biggio, X Huan, Z Hu, O Fink, A Tran, Y Wang, X Zhang, ... Mechanical Systems and Signal Processing 205, 110796, 2023 | 107 | 2023 |
| Digital twin concepts with uncertainty for nuclear power applications B Kochunas, X Huan Energies 14 (14), 4235, 2021 | 93 | 2021 |
| Sequential Bayesian optimal experimental design via approximate dynamic programming X Huan, YM Marzouk arXiv preprint arXiv:1604.08320, 2016 | 88 | 2016 |
| Variational system identification of the partial differential equations governing the physics of pattern-formation: Inference under varying fidelity and noise Z Wang, X Huan, K Garikipati Computer Methods in Applied Mechanics and Engineering 356, 44-74, 2019 | 81 | 2019 |
| Compressive sensing adaptation for polynomial chaos expansions P Tsilifis, X Huan, C Safta, K Sargsyan, G Lacaze, JC Oefelein, HN Najm, ... Journal of Computational Physics 380, 29-47, 2019 | 74 | 2019 |
| Embedded Model Error Representation for Bayesian Model Calibration K Sargsyan, X Huan, HN Najm International Journal for Uncertainty Quantification 9 (4), 365-394, 2019 | 72 | 2019 |
| Compressive Sensing with Cross-Validation and Stop-Sampling for Sparse Polynomial Chaos Expansions X Huan, C Safta, K Sargsyan, ZP Vane, G Lacaze, JC Oefelein, HN Najm SIAM/ASA Journal on Uncertainty Quantification 6 (2), 907-936, 2018 | 45 | 2018 |
| Global Sensitivity Analysis and Estimation of Model Error, Toward Uncertainty Quantification in Scramjet Computations X Huan, C Safta, K Sargsyan, G Geraci, MS Eldred, ZP Vane, G Lacaze, ... AIAA Journal 56 (3), 1170-1184, 2018 | 42 | 2018 |
| Bayesian sequential optimal experimental design for nonlinear models using policy gradient reinforcement learning W Shen, X Huan Computer Methods in Applied Mechanics and Engineering 416, 116304, 2023 | 40 | 2023 |
| Understanding uncertainty: how lay decision-makers perceive and interpret uncertainty in human-AI decision making S Prabhudesai, L Yang, S Asthana, X Huan, QV Liao, N Banovic Proceedings of the 28th international conference on intelligent user …, 2023 | 39 | 2023 |
| Variational system identification of the partial differential equations governing microstructure evolution in materials: Inference over sparse and spatially unrelated data Z Wang, X Huan, K Garikipati Computer Methods in Applied Mechanics and Engineering 377, 113706, 2021 | 39* | 2021 |
| Entropy-based closure for probabilistic learning on manifolds C Soize, R Ghanem, C Safta, X Huan, ZP Vane, J Oefelein, G Lacaze, ... Journal of Computational Physics 388, 518-533, 2019 | 33 | 2019 |
| Stochastic surrogate model for meteotsunami early warning system in the eastern Adriatic Sea C Denamiel, J Šepić, X Huan, C Bolzer, I Vilibić Journal of Geophysical Research: Oceans 124 (11), 8485-8499, 2019 | 30 | 2019 |
| Design optimization of a scramjet under uncertainty using probabilistic learning on manifolds RG Ghanem, C Soize, C Safta, X Huan, G Lacaze, JC Oefelein, HN Najm Journal of Computational Physics 399, 108930, 2019 | 30 | 2019 |
| A perspective on regression and Bayesian approaches for system identification of pattern formation dynamics Z Wang, B Wu, K Garikipati, X Huan Theoretical and Applied Mechanics Letters 10 (3), 188-194, 2020 | 26 | 2020 |
| Interface and Boundary Schemes for High-Order Methods X Huan, J Hicken, D Zingg 19th AIAA Computational Fluid Dynamics, AIAA Paper 2009-3658, 2009 | 26 | 2009 |
| Uncertainty Assessment of Octane Index Framework for Stoichiometric Knock Limits of Co-Optima Gasoline Fuel Blends D Vuilleumier, X Huan, T Casey, MG Sjöberg SAE International Journal of Fuels and Lubricants 11 (3), 247-270, 2018 | 24 | 2018 |
| Enhancing Model Predictability for a Scramjet Using Probabilistic Learning on Manifolds C Soize, RG Ghanem, C Safta, X Huan, ZP Vane, JC Oefelein, G Lacaze, ... AIAA Journal 57 (1), 365-378, 2018 | 24 | 2018 |
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