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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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Efficient Sampling Methods for Machine Learning Error Models with application to Surrogates of Steady Hypersonic Flows.
Abstract not provided.
Informing Missing Physics with Model Form Error and Model Selection.
Abstract not provided.
Advanced Error Modeling for Prompt Yield Estimation [Slides]
Multi-Phenomenology Explosion Monitoring (MultiPEM) Toolbox provides a capability for post-detonation characterization focusing on yield estimation; Synthesize information from multiple sensor types; Leverage historical databases to inform statistical models; Allows for rapid or comprehensive analysis; Implemented in R code.
Probing logical error models with gate set tomography
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Uncertainty Quantification and Calibration of the E3SM Land Model using an Embedded Model Error Approach
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Prioritizing Possible Force Models Error in Multiphase Flow Using Global Sensitivity Analysis
Not provided.
Global Sensitivity Analysis and Quantification of Model Error for Large Eddy Simulation in Scramjet Design.
Abstract not provided.
Efficient Sampling Methods for Machine Learning Error Models with application to Surrogates of Steady Hypersonic Flows .
Abstract not provided.
Model error: estimating uncertainty if your analysis lacks the needed physics
Abstract Not Provided
Sources-of-error model for prompt multi-phenomenology yield estimation
Abstract Not Provided
ROM-ES: Uncertainty Quantification of Reduced Order Model Errors.
Abstract not provided.
The ROMES method for statistical modeling of reduced-order-model error.
Abstract not provided.
Density Estimation Framework for Model Error Quantification.
Abstract not provided.
Density Estimation Framework for Model Error Quantification.
Abstract not provided.
Model error sensitivity and uncertainty in threaded fasteners.
Abstract not provided.