959 | -- | 964 | Jon C. Helton, Martin Pilch. Quantification of Margins and Uncertainties |
965 | -- | 975 | Martin Pilch, Timothy G. Trucano, Jon C. Helton. Ideas underlying the Quantification of Margins and Uncertainties |
976 | -- | 1013 | Jon C. Helton. Quantification of margins and uncertainties: Conceptual and computational basis |
1014 | -- | 1033 | Jon C. Helton, Jay D. Johnson, Cédric J. Sallaberry. Quantification of margins and uncertainties: Example analyses from reactor safety and radioactive waste disposal involving the separation of aleatory and epistemic uncertainty |
1034 | -- | 1052 | Jon C. Helton, Jay D. Johnson. Quantification of margins and uncertainties: Alternative representations of epistemic uncertainty |
1053 | -- | 1062 | Timothy C. Wallstrom. Quantification of margins and uncertainties: A probabilistic framework |
1063 | -- | 1075 | Christine M. Anderson-Cook, Stephen Crowder, Aparna V. Huzurbazar, John Lorio, James Ringland, Alyson G. Wilson. Quantifying reliability uncertainty from catastrophic and margin defects: A proof of concept |
1076 | -- | 1084 | Alyson G. Wilson, Christine M. Anderson-Cook, Aparna V. Huzurbazar. A case study for quantifying system reliability and uncertainty |
1085 | -- | 1091 | Ufuk Topcu, Leonard J. Lucas, Houman Owhadi, Michael Ortiz. Rigorous uncertainty quantification without integral testing |
1092 | -- | 1113 | Michael Eldred, Laura Painton Swiler, Gary Tang. Mixed aleatory-epistemic uncertainty quantification with stochastic expansions and optimization-based interval estimation |
1114 | -- | 1125 | Angel Urbina, Sankaran Mahadevan, Thomas L. Paez. Quantification of margins and uncertainties of complex systems in the presence of aleatoric and epistemic uncertainty |
1126 | -- | 1136 | Kari Sentz, Scott Ferson. Probabilistic bounding analysis in the Quantification of Margins and Uncertainties |
1137 | -- | 1149 | Sai Hung Cheung, Todd A. Oliver, Ernesto E. Prudencio, Serge Prudhomme, Robert D. Moser. Bayesian uncertainty analysis with applications to turbulence modeling |
1150 | -- | 1160 | Gianluca Iaccarino, Rene Pecnik, James Glimm, David H. Sharp. A QMU approach for characterizing the operability limits of air-breathing hypersonic vehicles |
1161 | -- | 1170 | Marisol Koslowski, Alejandro Strachan. Uncertainty propagation in a multiscale model of nanocrystalline plasticity |
1171 | -- | 1183 | Alina A. Alexeenko, Sruti Chigullapalli, Juan Zeng, Xiaohui Guo, Andrew Kovacs, Dimitrios Peroulis. Uncertainty in microscale gas damping: Implications on dynamics of capacitive MEMS switches |
1184 | -- | 1193 | James Paul Holloway, Derek Bingham, Chuan-Chih Chou, Forrest Doss, R. Paul Drake, Bruce Fryxell, Michael Grosskopf, Bart van der Holst, Bani K. Mallick, Ryan G. McClarren, Ashin Mukherjee, Vijay Nair, Kenneth G. Powell, D. Ryu, Igor V. Sokolov, Gábor Tóth, Zhanyang Zhang. Predictive modeling of a radiative shock system |
1194 | -- | 1207 | Ryan G. McClarren, D. Ryu, R. Paul Drake, Michael Grosskopf, Derek Bingham, Chuan-Chih Chou, Bruce Fryxell, Bart van der Holst, James Paul Holloway, Carolyn C. Kuranz, Bani K. Mallick, Erica Rutter, Ben R. Torralva. A physics informed emulator for laser-driven radiating shock simulations |
1208 | -- | 1219 | Brian J. Williams, Jason L. Loeppky, Leslie M. Moore, Mason S. Macklem. Batch sequential design to achieve predictive maturity with calibrated computer models |
1220 | -- | 1231 | François M. Hemez, Sezer Atamturktur. The dangers of sparse sampling for the quantification of margin and uncertainty |
1232 | -- | 1241 | Shankar Sankararaman, Sankaran Mahadevan. Model validation under epistemic uncertainty |
1242 | -- | 1256 | Hayes F. Stripling, Marvin L. Adams, Ryan G. McClarren, Bani K. Mallick. The Method of Manufactured Universes for validating uncertainty quantification methods |