3 papers
stat.ME2025
Optimal Experimental Design Criteria for Data-Consistent Inversion
Troy Butler, John Jakeman, Michael Pilosov +2
The ability to design effective experiments is crucial for obtaining data that can substantially reduce the uncertainty in the predictions made using computational models. An optim…
math.NA2024
A Distributions-based Approach for Data-Consistent Inversion
Kirana Bergstrom, Troy Butler, Tim Wildey
We formulate a novel approach to solve a class of stochastic problems, referred to as data-consistent inverse (DCI) problems, which involve the characterization of a probability me…
cond-mat.mtrl-sci2023
The multifaceted nature of uncertainty in structure-property linkage with crystal plasticity finite element model
Anh Tran, Pieterjan Robbe, Tim Wildey +2
Uncertainty quantification (UQ) plays a critical role in verifying and validating forward integrated computational materials engineering (ICME) models. Among numerous ICME models,…