Uncertainty Quantification in Computational Models of Physical Systems
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Najm, Habib N.↗
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Results for “uncertainty Quantification”
Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.
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Linear and Non-Linear Dimension Reduction Strategies for Multi-Fidelity Sampling Uncertainty Quantification: Complexity Versus Precision
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Geraci, Gianluca↗
A novel ensemble approach to uncertainty quantification in operator learning
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Patel, Ravi Ghanshyam↗
Data-driven Reduced-order Modeling for Optimization and Uncertainty Quantification
Short presentation for the Fellows Day Symposium.
McQuarrie, Shane Alexander↗
Field scale application of deep learning-based data assimilation for parameter estimation and uncertainty quantification at a geologic carbon storage site
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Yoon, Hongkyu↗
Uncertainty quantification of single and multi-parameter full-waveform inversion through a variational autoencoder
This poster will be presented at IMAGE as well as for a Sandia-UT student poster session next week
Elmeliegy, Abdelrahman M↗
Uncertainty quantification of transport-coefficient datasets for magnetohydrodynamic simulations of pulsed power experiments
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Stanek, Lucas James↗
Hypercomplex Automatic Differentiation Uncertainty Quantification (HYPAD-UQ) in Hydrocode Simulations
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42 ENGINEERING↗
Uncertainty Quantification and Calibration of the E3SM Land Model using an Embedded Model Error Approach
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Iyengar, Nikhil [Sandia National Laboratories (SNL↗
Uncertainty Quantification of Mechanical Damage in Carbon-Carbon Composites
Investigates the effect of changing input parameters and analyze the variation in macroscopic and microscopic damage behavior.
Skweres, Sean Braddock [Sandia National Laboratori↗
Uncertainty Quantification of Neural Network Models via Langevin Sampling
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Safta, Cosmin [Sandia National Laboratories (SNL-C↗
Uncertainty Quantification in Computational Science: from Physical Models to Neural Networks
Tutorial at the upcoming BIRS workshop https://www.birs.ca/events/2025/5-day-workshops/25w5381/schedule
Sargsyan, Khachik [Sandia National Laboratories (S↗
Panel: Shared Opportunities in Uncertainty Quantification in Support of CFD Validation
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Lance, Blake [Sandia National Laboratories (SNL-NM↗
Reduced-Basis Methods for Uncertainty Quantification with application to High-Speed Flows
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Blonigan, Patrick Joseph [Sandia National Laborato↗
Final Technical Report: Probabilistic Learning, Dimension Reduction, and Spectral Representations for High-Dimensional Uncertainty Quantification
Final Technical Report
Ghanem, Roger [University of Southern California] ↗
Uncertainty Quantification of Transport coefficient datasets in simulations of warm dense matter
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Stanek, Lucas James [Sandia National Laboratories ↗
Monte Carlo uncertainty quantification and sensitivity analysis for the C5G7 benchmark
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Clements, Kayla [Oregon State University ]↗
NeurAM: nonlinear dimensionality reduction for uncertainty quantification through neural active manifolds
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Schiavazzi, Daniele [University of Notre Dame]↗