Xun Huan
Title
Cited by
Cited by
Year
Simulation-based optimal Bayesian experimental design for nonlinear systems
X Huan, YM Marzouk
Journal of Computational Physics 232 (1), 288-317, 2013
2462013
Gradient-Based Stochastic Optimization Methods in Bayesian Experimental Design
X Huan, YM Marzouk
International Journal for Uncertainty Quantification 4 (6), 479-510, 2014
692014
Sequential Bayesian optimal experimental design via approximate dynamic programming
X Huan, YM Marzouk
arXiv preprint arXiv:1604.08320, 2016
322016
Interface and Boundary Schemes for High-Order Methods
X Huan, J Hicken, D Zingg
19th AIAA Computational Fluid Dynamics, AIAA Paper 2009-3658, 2009
262009
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
202019
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
172018
Accelerated Bayesian experimental design for chemical kinetic models
X Huan
Massachusetts Institute of Technology, 2010
152010
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
142018
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
122019
Embedded Model Error Representation for Bayesian Model Calibration
K Sargsyan, X Huan, HN Najm
International Journal for Uncertainty Quantification 9 (4), 365-394, 2019
112019
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
112019
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
102018
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
82018
Design analysis for optimal calibration of diffusivity in reactive multilayers
M Vohra, X Huan, TP Weihs, OM Knio
Combustion Theory and Modelling 21 (6), 1023-1049, 2017
82017
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
62019
Multifidelity Statistical Analysis of Large Eddy Simulations in Scramjet Computations
X Huan, G Geraci, C Safta, MS Eldred, K Sargsyan, ZP Vane, JC Oefelein, ...
2018 AIAA Non-Deterministic Approaches Conference, AIAA Paper 2018-1180, 2018
52018
Optimal Bayesian Experimental Design for Combustion Kinetics
X Huan, YM Marzouk
49th AIAA Aerospace Sciences Meeting Including the New Horizons Forum and …, 2011
52011
Uncertainty Propagation Using Conditional Random Fields in Large-Eddy Simulations of Scramjet Computations
X Huan, C Safta, ZP Vane, G Lacaze, JC Oefelein, HN Najm
AIAA Scitech 2019 Forum, AIAA Paper 2019-0724, 2019
42019
Global Sensitivity Analysis and Quantification of Model Error for Large Eddy Simulation in Scramjet Design
X Huan, C Safta, K Sargsyan, G Geraci, MS Eldred, ZP Vane, G Lacaze, ...
19th AIAA Non-Deterministic Approaches Conference, AIAA Paper 2017-1089, 2017
42017
Numerical Approaches for Sequential Bayesian Optimal Experimental Design
X Huan
Massachusetts Institute of Technology, 2015
42015
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Articles 1–20