4 papers
Inference in the presence of model-form uncertainties: Leveraging a prediction-oriented approach to improve uncertainty characterization
Rebekah White, Rileigh Bandy, Teresa Portone
Bayesian inference is a popular approach to calibrating uncertainties, but it can underpredict such uncertainties when model misspecification is present, impacting its reliability…
Closure Term Estimation in Spatiotemporal Models of Dynamical Systems
Eric Crislip, Mohammad Khalil, Teresa Portone +2
Closure modeling - the statistical modeling of missing dynamics in the natural sciences and engineering - is a growing and active area of research. Existing methods for closure mod…
Quantifying model prediction sensitivity to model-form uncertainty
Teresa Portone, Rebekah D. White, Joseph L. Hart
Model-form uncertainty (MFU) in assumptions made during physics-based model development is widely considered a significant source of uncertainty; however, there are limited approac…
Hybrid Physics-Data Enrichments to Represent Uncertainty in Reduced Gas-Surface Chemistry Models for Hypersonic Flight
Rileigh Bandy, Rebecca Morrison, Erin Mussoni +1
During hypersonic flight, air reacts with a planetary re-entry vehicle's thermal protection system (TPS), creating reaction products that deplete the TPS. Reliable assessment of TP…