2 papers
physics.comp-ph2026
Probabilistic Inverse Modeling of Contaminant Transport via a Conditioned-on-Design Bayesian Physics Informed Neural Network
Milad Panahi, Giovanni Michele Porta, Monica Riva +1
We address the inverse problem of reactive transport in heterogeneous porous media, where unknown model parameters must be inferred from sparse experimental observations. The probl…
cond-mat.soft2026
Pore-shape and its spatial organization control intrinsic permeability of porous media
Wenqiao Jiao, Isaac Pincus, Chiara Recalcati +2
The structure of a porous material, and in particular its spatial variability, is known to control the intrinsic permeability of the system. We investigate how dead-end pores influ…