3 papers
stat.ME2026
Sample correlation adjustments for robust Multi-fidelity Monte Carlo under limited pilot sampling
Michael Stanley, Thomas Coons, Geoffrey Bomarito +3
Multi-fidelity Monte Carlo (MFMC) is a variance reduction method that leverages a multi-fidelity ensemble of models of varying cost and accuracy levels. Constructing an MFMC estima…
cs.LG2026
Latent Generative Modeling of Random Fields from Limited Training Data
James E. Warner, Tristan A. Shah, Patrick E. Leser +3
The ability to accurately model random fields plays a critical role in science and engineering for problems involving uncertain, spatially-varying quantities such as heterogeneous…
cond-mat.mtrl-sci2026
Probabilistic calibration of crystal plasticity material models with synthetic global and local data
Joshua D. Pribe, Patrick E. Leser, Saikumar R. Yeratapally +1
Crystal plasticity models connect macroscopic deformation with the physics of microscale slip in polycrystalline materials. These models can be calibrated using global stress-strai…