2 papers
math.NA2025
Goal-oriented optimal sensor placement for PDE-constrained inverse problems in crisis management
Marco Mattuschka, Noah An der Lan, Max von Danwitz +2
This paper presents a novel framework for goal-oriented optimal static sensor placement and dynamic sensor steering in PDE-constrained inverse problems, utilizing a Bayesian approa…
cs.CE2024
Physics-Informed Neural Networks for Solving Contact Problems in Three Dimensions
Tarik Sahin, Daniel Wolff, Alexander Popp
This paper explores the application of physics-informed neural networks (PINNs) to tackle forward problems in 3D contact mechanics, focusing on small deformation elasticity. We uti…