PODCAST
[Audio] IMA 2013 UQ: Uncertainty Quantification in Materials Modeling
This IMA Hot Topics Workshop will bring together materials scientists specializing in modeling and simulation with researchers in uncertainty quantification (UQ) with the goal of identifying the main challenges in UQ for materials application.
Episodes
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IMA 2013 UQ: Bayesian Calibration of Molecular Dynamics Simulations for Composite Materials Properties
In this talk, I discuss ongoing research whose goal is to determine, via Bayesian inference, an ensemble of inputs that represents a class of commercially important amine-cured epoxies. We construct an analytical approximation (i.e. a surrogate or emulator) of the simulations, treating the input...
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IMA 2013 UQ: Foam Property Prediction from Process Modeling
We are developing computational models to elucidate the injection, expansion, and dynamic filling process for polyurethane foam such as PMDI. The polyurethane is a chemically blown foam, where carbon dioxide is produced via reaction of water, the blowing agent, and isocyanate. In a competing...
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IMA 2013 UQ: DFT-based Thermal Properties: Three Levels of Error Management
It is often computationally expensive to predict finite-temperature properties of a crystal from density-functional theory (DFT). The temperature-dependent thermal expansion coefficient α, for example, is calculated from the phonon spectrum, and the melting temperature Tm can only be obtained…
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IMA 2013 UQ: Probabilistic Hazard Mapping and Uncertainty Quantification Based on Granular Flow Simulations
PDE models of granular flows are invaluable tools for developing probabilistic hazards maps for volcanic landslides, but they are far from perfect. Epistemic uncertainty -- uncertainty due to a lack of model refinement -- arises through assumptions made in physical models, numerical…
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IMA 2013 UQ: Prediction Interval Construction for Smart Material Systems in the Presence of Model Discrepancy
In this presentation, we will discuss issues pertaining to the construction of prediction intervals in the presence of model biases or discrepancies. We will illustrate this in the context of models for smart material systems but the issues are relevant for a range of physical and biological...
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ABOUT THIS SHOW
This IMA Hot Topics Workshop will bring together materials scientists specializing in modeling and simulation with researchers in uncertainty quantification (UQ) with the goal of identifying the main challenges in UQ for materials application.
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