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…
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…
cs.LG2025
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…