Justin G. Winokur, Ph.D.
Affiliations: | 2015 | Mechanical Engineering and Materials Science | Duke University, Durham, NC |
Area:
Mechanical Engineering, Applied MathematicsGoogle:
"Justin Winokur"Parents
Sign in to add mentor| Omar M. Knio | grad student | 2015 | Duke | |
| (Adaptive Sparse Grid Approaches to Polynomial Chaos Expansions for Uncertainty Quantification.) | ||||
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Publications
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| Winokur J, Kim D, Bisetti F, et al. (2016) Sparse Pseudo Spectral Projection Methods with Directional Adaptation for Uncertainty Quantification Journal of Scientific Computing. 68: 596-623 |
| Li G, Iskandarani M, Hénaff ML, et al. (2016) Quantifying initial and wind forcing uncertainties in the Gulf of Mexico Computational Geosciences. 20: 1133-1153 |
| Iskandarani M, Wang S, Srinivasan A, et al. (2016) An overview of uncertainty quantification techniques with application to oceanic and oil-spill simulations Journal of Geophysical Research: Oceans. 121: 2789-2808 |
| Wang S, Iskandarani M, Srinivasan A, et al. (2016) Propagation of uncertainty and sensitivity analysis in an integral oil-gas plume model Journal of Geophysical Research: Oceans. 121: 3488-3501 |
| Vohra M, Winokur J, Overdeep KR, et al. (2014) Development of a reduced model of formation reactions in Zr-Al nanolaminates Journal of Applied Physics. 116 |
| Sraj I, Iskandarani M, Srinivasan A, et al. (2013) Bayesian inference of drag parameters using AXBT data from typhoon fanapi Monthly Weather Review. 141: 2347-2367 |
| Winokur J, Conrad P, Sraj I, et al. (2013) A priori testing of sparse adaptive polynomial chaos expansions using an ocean general circulation model database Computational Geosciences. 17: 899-911 |
| Alexanderian A, Winokur J, Sraj I, et al. (2012) Global sensitivity analysis in an ocean general circulation model: A sparse spectral projection approach Computational Geosciences. 16: 757-778 |