Uncertainty propagation using Wiener–Haar expansions von Le Maı̂tre, O.P., Knio, O.M., Najm, H.N., Ghanem, R.G.

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On the Statistical Calibration of Physical Models von Sargsyan, K., Najm, H. N., Ghanem, R.

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Multi-resolution analysis of Wiener-type uncertainty propagation schemes von Le Maı̂tre, O.P., Najm, H.N., Ghanem, R.G., Knio, O.M.

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Structure of n-heptane/air triple flames in partially-premixed mixing layers von Prager, J., Najm, H.N., Valorani, M., Goussis, D.A.

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Compressed sparse tensor based quadrature for vibrational quantum mechanics integrals von Rai, P., Sargsyan, K., Najm, H.

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Design optimization of a scramjet under uncertainty using probabilistic learning on manifolds von Ghanem, R.G., Soize, C., Safta, C., Huan, X., Lacaze, G., Oefelein, J.C., Najm, H.N.

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Entropy-based closure for probabilistic learning on manifolds von Soize, C., Ghanem, R., Safta, C., Huan, X., Vane, Z.P., Oefelein, J., Lacaze, G., Najm, H.N., Tang, Q., Chen, X.

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Uncertainty quantification in chemical systems von Najm, H. N., Debusschere, B. J., Marzouk, Y. M., Widmer, S., Le Maître, O. P.

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Inference and combination of missing data sets for the determination of H2O2 thermal decomposition rate uncertainty von Casey, T.A., Khalil, M., Najm, H.N.

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Global sensitivity analysis, probabilistic calibration, and predictive assessment for the data assimilation linked ecosystem carbon model von Safta, C, Ricciuto, D M, Sargsyan, K, Debusschere, B, Najm, H N, Williams, M, Thornton, P E

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Uncertainty Quantification in MD Simulations. Part II: Bayesian Inference of Force-Field Parameters von Rizzi, F., Najm, H. N., Debusschere, B. J., Sargsyan, K., Salloum, M., Adalsteinsson, H., Knio, O. M.

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Uncertainty Quantification in MD Simulations. Part I: Forward Propagation von Rizzi, F, Najm, H N, Debusschere, B J, Sargsyan, K, Salloum, M, Adalsteinsson, H, Knio, OM

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Evaluating engineering properties and environmental impact of pervious concrete with fly ash and slag von Chen, Xiaodan, Wang, Hao, Najm, Husam, Venkiteela, Giri, Hencken, John

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Designing a robust sustainable reverse logistics to waste of electrical and electronic equipment: a case study von Najm, H., Asadi-Gangraj, E.

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Uncertainty quantification in reacting-flow simulations through non-intrusive spectral projection von Reagan a, Matthew T., Najm, Habib N., Ghanem, Roger G., Knio, Omar M.

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A Stochastic Projection Method for Fluid Flow: II. Random Process von Le Maı̂tre, Olivier P., Reagan, Matthew T., Najm, Habib N., Ghanem, Roger G., Knio, Omar M.

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Multi‐Resolution‐Analysis Scheme for Uncertainty Quantification in Chemical Systems von Le Maître, O. P., Najm, H. N., Pébay, P. P., Ghanem, R. G., Knio, O. M.

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Operator-splitting with ISAT to model reacting flow with detailed chemistry von Singer, M. A., Pope, S. B., Najm, H. N.

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Spectral Methods for Parametric Sensitivity in Stochastic Dynamical Systems von Kim, D., Debusschere, B.J., Najm, H.N.

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A Bayesian approach for estimating bioterror attacks from patient data von Ray, J., Marzouk, Y. M., Najm, H. N.

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