2 papers
cs.LG2026
Learning Physics-Informed Surrogate Model of Linear Elastic Displacement Fields from Geometry
Rodolphe Barlogis, Ferhat Tamssaouet, Quentin Falcoz +1
This work aims to develop a fast and physically consistent surrogate model for real-time structural health monitoring of fractured elastic domains. We propose a physics-informed De…
cs.LG2026
Learning the Helmholtz equation operator with DeepONet for non-parametric 2D geometries
Rodolphe Barlogis, Ferhat Tamssaouet, Quentin Falcoz +1
This paper deals with solving the 2D Helmholtz equation on non-parametric domains, leveraging a physics-informed neural operator network, the DeepONet framework. We consider a 2D s…