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About this Symposium

Meeting MS&T25: Materials Science & Technology
Symposium Applications of Uncertainty Quantification (UQ) in Science and Engineering
Sponsorship ACerS Engineering Ceramics Division
Organizer(s) Mark J. Andrews, SmartUQ (retired)
Miroslav Stoyanov, Oak Ridge National Laboratory
Scope Uncertainty Quantification are processes that determine the degree of plausible variation in an analysis. As input parameters are typically not constant, it shows the realm of variation in the analytical response from variation in parameter inputs. Understanding the variation in responses can lead to decisions with more favorable outcomes. This symposium will present examples of applying Uncertainty Quantification methods to Material Science and Engineering analyses and illustrate the value it provides in decision analytics.
Abstracts Due 05/15/2025

PRESENTATIONS APPROVED FOR THIS SYMPOSIUM INCLUDE


A case study of Bayesian parameter estimation for thermal property inference and uncertainty quantification
Leveraging Archival Additively Manufacturing Fatigue Data to Investigate the Role of Processing Porosity with Greater Precision
Representative microstructure for macro-scale property prediction using multi-scale models
Sparse grids for magneto-hydrodynamics
Uncertainty Quantification via Deep Kernel Learning for Predicting Multimodal β-phase Volume Fraction from SXRD Patterns


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