Auto-weighted Bayesian Physics-Informed Neural Networks and robust estimations for multitask inverse problems in pore-scale imaging of dissolution. - Sarah Perez 003; Philippe Poncet (CoRR, 2023)

Adaptive weighting of Bayesian physics informed neural networks for multitask and multiscale forward and inverse problems. - Sarah Perez 003; Suryanarayana Maddu; Ivo F. Sbalzarini; Philippe Poncet (J. Comput. Phys., 2023)

A semi-Lagrangian method for the direct numerical simulation of crystallization and precipitation at the pore scale. - Sarah Perez 003; Jean-Matthieu Etancelin; Philippe Poncet (CoRR, 2024)