J. Winokur

发表

Global sensitivity analysis in an ocean general circulation model: a sparse spectral projection approach

Omar M. Knio, Alen Alexanderian, Justin Winokur, 2012, Computational Geosciences.

Development of a reduced model of formation reactions in Zr-Al nanolaminates

Omar M. Knio, Justin Winokur, Timothy P. Weihs, 2014 .

Propagation of uncertainty and sensitivity analysis in an integral oil‐gas plume model

O. Knio, W. Thacker, M. Iskandarani, 2016 .

Interactions of methanol with stoichiometric and defective TiO2(110) and (100) surfaces

M. Engelhard, Li-Qiong Wang, D. Baer, 1998 .

Sensitivity Analysis of Air/Carbon Finite-Rate Surface Ablation Models

J. Delplanque, R. Wagnild, J. Winokur, 2022, AIAA AVIATION 2022 Forum.

Sparse Pseudo Spectral Projection Methods with Directional Adaptation for Uncertainty Quantification

Omar M. Knio, Daesang Kim, Justin Winokur, 2016, J. Sci. Comput..

Sparse Pseudo Spectral Projection Methods with Directional Adaptation for Uncertainty Quantification

O. Knio, F. Bisetti, Dongjae Kim, 2015, Journal of Scientific Computing.

Dakota A Multilevel Parallel Object-Oriented Framework for Design Optimization Parameter Estimation Uncertainty Quantification and Sensitivity Analysis: Version 6.12 User?s Manual.

Mohamed S. Ebeida, Kenneth T. Hu, Jason A. Monschke, 2020 .

Before the Peace: Ceasefire Durability in Ethnic Civil Wars

J. Winokur, 2018 .

Adaptive Sparse Grid Approaches to Polynomial Chaos Expansions for Uncertainty Quantification

Justin Winokur, J. Winokur, 2015 .

Bayesian Inference of Drag Parameters Using AXBT Data from Typhoon Fanapi

Omar M. Knio, Shuyi Chen, Alen Alexanderian, 2013 .

Dakota, A Multilevel Parallel Object-Oriented Framework for Design Optimization, Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis: Version 6.13 User's Manual.

Mohamed S. Ebeida, Jason A. Monschke, B. Adams, 2020 .

Summary of the 2014 Sandia Verification and Validation Challenge Workshop

Joshua Mullins, Benjamin B. Schroeder, Justin Winokur, 2016 .

Dakota, A Multilevel Parallel Object-Oriented Framework for Design Optimization, Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis: Version 6.16 User's Manual.

Mohamed S. Ebeida, Jason A. Monschke, B. Adams, 2022 .

Quantifying initial and wind forcing uncertainties in the Gulf of Mexico

Omar M. Knio, Olivier Le Maitre, Justin Winokur, 2016, Computational Geosciences.

Dakota A Multilevel Parallel Object-Oriented Framework for Design Optimization Parameter Estimation Uncertainty Quantification and Sensitivity Analysis: Version 6.14 User's Manual.

B. Adams, P. Hough, M. Eldred, 2020 .

Discrete-Direct Model Calibration and Uncertainty Propagation Method Confirmed on Multi-Parameter Plasticity Model Calibrated to Sparse Random Field Data

Vicente J. Romero, James F. Dempsey, Justin G. Winokur, 2021, ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg.

An overview of uncertainty quantification techniques with application to oceanic and oil‐spill simulations

Omar M. Knio, Justin Winokur, Shitao Wang, 2016 .

Dakota A Multilevel Parallel Object-Oriented Framework for Design Optimization Parameter Estimation Uncertainty Quantification and Sensitivity Analysis: Version 6.14 User's Manual.

Mohamed S. Ebeida, B. Adams, P. Hough, 2020 .