Browsing by Subject "Uncertainty Quantification"
Now showing items 21-26 of 26
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Process Monitoring and Uncertainty Quantification for Laser Powder Bed Fusion Additive Manufacturing (2019-07-26)Metal Additive manufacturing (AM) such as Laser Powder-Bed Fusion (LPBF) processes offer new opportunities for building parts with geometries and features that other traditional processes cannot match. At the same time, ...
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(2013-03-28)This research presents new physics-based methods to estimate predictive uncertainty stemming from uncertainty in the material opacities in radiative transfer computations of key quantities of interest (QOIs). New methods ...
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(2015-08-10)The field of inverse problems is an area of applied mathematics that is of great importance in several scientific and industrial applications. Since an inverse problem is typically based on non-linear and ill-posed models ...
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(2019-09-10)Soil variability is a complex but ubiquitous phenomenon that derived from many sources of uncertainty. This inherent in-homogeneous behavior can affect the accurate estimation of soil strength and ideally should be fully ...
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(2022-04-21)With its increasing pervasiveness across multiple industries, machine learning is expected to occupy greater significance in the semiconductor manufacturing industry. To foster trust and facilitate the adoption of ...
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(2019-03-04)Monte Carlo N-Particle Transport Code (MCNP) is a Monte Carlo computational neutron transport code with multi-core parallel simulation functionality developed by Los Alamos National Laboratory and is widely used in nuclear ...