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Justin Winokur
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Dakota, a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis: version 6.13 user's …
BM Adams, WJ Bohnhoff, KR Dalbey, MS Ebeida, JP Eddy, MS Eldred, ...
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2020
15592020
Global sensitivity analysis in an ocean general circulation model: a sparse spectral projection approach
A Alexanderian, J Winokur, I Sraj, A Srinivasan, M Iskandarani, ...
Computational Geosciences 16, 757-778, 2012
772012
Sparse pseudo spectral projection methods with directional adaptation for uncertainty quantification
J Winokur, D Kim, F Bisetti, OP Le Maître, OM Knio
Journal of Scientific Computing 68, 596-623, 2016
502016
A priori testing of sparse adaptive polynomial chaos expansions using an ocean general circulation model database
J Winokur, P Conrad, I Sraj, O Knio, A Srinivasan, WC Thacker, ...
Computational Geosciences 17, 899-911, 2013
462013
Quantifying initial and wind forcing uncertainties in the Gulf of Mexico
G Li, M Iskandarani, ML Hénaff, J Winokur, OP Le Maître, OM Knio
Computational geosciences 20, 1133-1153, 2016
392016
Bayesian inference of drag parameters using AXBT data from Typhoon Fanapi
I Sraj, M Iskandarani, A Srinivasan, WC Thacker, J Winokur, ...
Monthly Weather Review 141 (7), 2347-2367, 2013
352013
An overview of uncertainty quantification techniques with application to oceanic and oil‐spill simulations
M Iskandarani, S Wang, A Srinivasan, W Carlisle Thacker, J Winokur, ...
Journal of Geophysical Research: Oceans 121 (4), 2789-2808, 2016
332016
Development of a reduced model of formation reactions in Zr-Al nanolaminates
M Vohra, J Winokur, KR Overdeep, P Marcello, TP Weihs, OM Knio
Journal of Applied Physics 116 (23), 2014
202014
Simple effective conservative treatment of uncertainty from sparse samples of random variables and functions
VJ Romero, BB Schroeder, JF Dempsey, NL Breivik, GE Orient, ...
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B …, 2018
162018
Adaptive sparse grid approaches to polynomial chaos expansions for uncertainty quantification
JG Winokur
Duke University, 2015
152015
Optimal design of computer experiments for uncertainty quantification with sparse discrete sampling
J Winokur, V Romero
Sandia National Laboratories document SAND2016-12608, 2016
112016
Evaluation of a simple UQ approach to compensate for sparse stress-strain curve data in solid mechanics applications
VJ Romero, JF Dampsey, B Schroeder, J Lewis, N Breivik, G Orient, ...
19th AIAA Non-Deterministic Approaches Conference, 0818, 2017
92017
Propagation of uncertainty and sensitivity analysis in an integral oil‐gas plume model
S Wang, M Iskandarani, A Srinivasan, WC Thacker, J Winokur, OM Knio
Journal of Geophysical Research: Oceans 121 (5), 3488-3501, 2016
82016
Can-Crush Model and Simulations for Verifying Uncertainty Quantification Method for Sparse Stress-Strain Curve Data
JF Dempsey, V Romero, N Breivik, G Orient, B Antoun, B Schroeder, ...
ASME International Mechanical Engineering Congress and Exposition 50633 …, 2016
42016
Summary of the 2014 Sandia Verification and Validation Challenge Workshop
BB Schroeder, KT Hu, JG Mullins, JG Winokur
Journal of Verification, Validation and Uncertainty Quantification 1 (1), 015501, 2016
42016
Sensitivity Analysis of Air/Carbon Finite-Rate Surface Ablation Models
E Mussoni, RM Wagnild, J Winokur, JPR Delplanque
AIAA Aviation 2022 Forum, 3944, 2022
22022
Discrete-Direct Model Calibration and Uncertainty Propagation Method Confirmed on Multi-Parameter Plasticity Model Calibrated to Sparse Random Field Data
VJ Romero, JG Winokur, GE Orient, JF Dempsey
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B …, 2021
22021
Chaotic mixing and superdiffusion in a two-dimensional array of vortices
T Solomon, J Winokur, G O'Malley, M Paoletti
APS Division of Fluid Dynamics Meeting Abstracts 61, LV. 009, 2008
22008
A Summary of Modeling and Simulation Assessment Techniques.
VG Weirs, J Winokur
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2017
12017
Cantilever Beam End-to-End UQ Test Problem and Evaluation Criteria for UQ Methods Performance Assessment.
VJ Romero, BB Schroeder, MR Glickman, J Winokur
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2017
12017
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