Članki z zahtevami za javni dostop - Xun HuanVeč o tem
Ni na voljo nikjer: 1
Substituent Impact on Quinoxaline Performance and Degradation in Redox Flow Batteries
SV Modak, D Pert, JL Tami, W Shen, I Abdullahi, X Huan, AJ McNeil, ...
Journal of the American Chemical Society 146 (8), 5173–5185, 2024
Zahteve: US National Science Foundation, US Department of Energy
Na voljo nekje: 35
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
Zahteve: US National Science Foundation, US Department of Energy, Swiss National …
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
Zahteve: US National Science Foundation, US Department of Defense
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
Zahteve: US Department of Energy, US Department of Defense
Embedded Model Error Representation for Bayesian Model Calibration
K Sargsyan, X Huan, HN Najm
International Journal for Uncertainty Quantification 9 (4), 365-394, 2019
Zahteve: US Department of Energy, US Department of Defense
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
Zahteve: US Department of Energy, US Department of Defense
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
Zahteve: US Department of Energy, US Department of Defense
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
Zahteve: US Department of Energy
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
Zahteve: US National Science Foundation, US Department of Defense
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
Zahteve: US Department of Energy, US Department of Defense
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
Zahteve: US Department of Energy, US Department of Defense
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
Zahteve: US Department of Defense
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
Zahteve: US Department of Energy
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
Zahteve: US Department of Energy, US Department of Defense
Automated Loss-of-Balance Event Identification in Older Adults at Risk of Falls during Real-World Walking Using Wearable Inertial Measurement Units
J Hauth, S Jabri, F Kamran, EW Feleke, K Nigusie, LV Ojeda, ...
Sensors 21 (14), 4661, 2021
Zahteve: US National Institutes of Health
Towards Real-Time In-Flight Ice Detection Systems via Computational Aeroacoustics and Bayesian Neural Networks
BY Zhou, NR Gauger, M Morelli, A Guardone, J Hauth, X Huan
AIAA Aviation 2019 Forum, AIAA Paper 2019-3103, 2019
Zahteve: European Commission
Understanding capacity fade in organic redox-flow batteries by combining spectroscopy with statistical inference techniques
SV Modak, W Shen, S Singh, D Herrera, F Oudeif, BR Goldsmith, X Huan, ...
Nature Communications 14 (1), 3602, 2023
Zahteve: US National Science Foundation, US Department of Energy
Global sensitivity analysis and uncertainty quantification for background solar wind using the Alfvén wave solar atmosphere model
A Jivani, N Sachdeva, Z Huang, Y Chen, B van der Holst, W Manchester, ...
Space Weather 21 (1), e2022SW003262, 2023
Zahteve: US National Science Foundation, US National Aeronautics and Space Administration
Multi-fidelity uncertainty quantification of particle deposition in turbulent pipe flow
Y Yao, X Huan, J Capecelatro
Journal of Aerosol Science 166, 106065, 2022
Zahteve: US Department of Defense
Bayesian Inference of Parameters in Power System Dynamic Models Using Trajectory Sensitivities
R Nagi, X Huan, YC Chen
IEEE Transactions on Power Systems 37 (2), 1253-1263, 2022
Zahteve: Natural Sciences and Engineering Research Council of Canada
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