Xun Huan

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Habib NajmSandia National LaboratoriesCorreu electrònic verificat a sandia.gov
Youssef MarzoukProfessor, Massachusetts Institute of TechnologyCorreu electrònic verificat a mit.edu
Cosmin SaftaSandia National LabsCorreu electrònic verificat a sandia.gov
Khachik SargsyanSandia National LaboratoriesCorreu electrònic verificat a sandia.gov
Jeremiah HauthPostdoc, Sandia National LabsCorreu electrònic verificat a umich.edu
Krishna GarikipatiProfessor of Aerospace and Mechanical Engineering and Mathematics, University of Southern CaliforniaCorreu electrònic verificat a usc.edu
Beckett Yuxiang ZhouDaniel Guggenheim School of Aerospace Engineering, Georgia Institute of TechnologyCorreu electrònic verificat a gatech.edu
Wanggang ShenUniversity of MichiganCorreu electrònic verificat a umich.edu
Roger GhanemProfessor Civil Engineering, University of Southern CaliforniaCorreu electrònic verificat a usc.edu
Zhenlin WangUniversity of MichiganCorreu electrònic verificat a umich.edu
Nicolas R. GaugerProfessor, Chair for Scientific Computing, University of Kaiserslautern - LandauCorreu electrònic verificat a scicomp.uni-kl.de
Nikola BanovicAssociate Professor at the University of Michigan, Ann ArborCorreu electrònic verificat a umich.edu
Alberto GuardoneProfessor of Fluid Mechanics, Politecnico di MilanoCorreu electrònic verificat a polimi.it
Myles MorelliPolitecnico di MilanoCorreu electrònic verificat a polimi.it
Gianluca GeraciSandia National LaboratoriesCorreu electrònic verificat a sandia.gov
Snehal PrabhudesaiPhD Candidate, University of Michigan, Computer Science and EngineeringCorreu electrònic verificat a umich.edu
Christian SoizeUniversité Gustave EiffelCorreu electrònic verificat a univ-eiffel.fr
Joseph CohenAssistant Professor @ Rutgers Mechanical and Aerospace EngineeringCorreu electrònic verificat a rutgers.edu
Zhen HuUniversity of Michigan-DearbornCorreu electrònic verificat a umich.edu
Chao HuAssociate Professor at University of ConnecticutCorreu electrònic verificat a uconn.edu

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Xun Huan

Associate Professor of Mechanical Engineering, University of Michigan

Correu electrònic verificat a umich.edu - Pàgina d'inici

Uncertainty Quantification Optimal Experimental Design Bayesian Methods Machine Learning


Títol Ordena per cites Ordena per any Ordena per títol	Citada per Citada per	Any
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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