2 papers
stat.ME2026
Model Error Embedding with Orthogonal Gaussian Processes
Mridula Kuppa, Khachik Sargsyan, Marco Panesi +1
Computational models of complex physical systems often rely on simplifying assumptions which inevitably introduce model error, with consequent predictive errors. Given data on mode…
physics.comp-ph2024
Stochastic Operator Learning for Chemistry in Non-Equilibrium Flows
Mridula Kuppa, Roger Ghanem, Marco Panesi
This work presents a novel framework for physically consistent model error characterization and operator learning for reduced-order models of non-equilibrium chemical kinetics. By…