48 citations · 48 across the 3 of their papers we have counts for
3 papers
A variational framework for Bayesian inversion in moving boundary Darcy flow
Michael E. Causon, Marco A. Iglesias, Michael V. Tretyakov
We develop an infinite-dimensional Bayesian framework for recovering spatially varying log-permeability from pressure observations in single-phase Darcy flow with a moving boundary…
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…
Bayesian inversion in resin transfer molding
Marco Iglesias, Minho Park, M. V. Tretyakov
We study the Bayesian inverse problem of inferring the permeability of a porous medium within the context of a moving boundary framework motivated by Resin Transfer Molding (RTM),…