DeepONet-accelerated Bayesian inversion for moving boundary problems

Marco A. Iglesias, Michael. E. Causon, Mikhail Y. Matveev +2

This work demonstrates that neural operator learning provides a powerful and flexible framework for building fast, accurate emulators of moving boundary systems, enabling their int…