activity
20202026
most citedSolving Forward and Inverse Problems of Contact Mechanics using Physics-Informed Neural Networks

78 citations · 115 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CE2026

Intrusive and Non-Intrusive Model Order Reduction for Airborne Contaminant Transport: Comparative Analysis and Uncertainty Quantification

Lisa Kühn, Jacopo Bonari, Max von Danwitz +1

Numerical simulations of contaminant dispersion after a gas leakage incident at a chemical plant can provide valuable insights for both emergency response and preparedness. High-fi…

cs.CE2024

Towards Real-Time Urban Physics Simulations with Digital Twins

Jacopo Bonari, Lisa Kühn, Max von Danwitz +1

Urban populations continue to grow, highlighting the critical need to safeguard civilians against potential disruptions, such as dangerous gas contaminant dispersion. The digital t…

math.NA2023★ 78 cited

Solving Forward and Inverse Problems of Contact Mechanics using Physics-Informed Neural Networks

T. Sahin, M. von Danwitz, A. Popp

This paper explores the ability of physics-informed neural networks (PINNs) to solve forward and inverse problems of contact mechanics for small deformation elasticity. We deploy P…

math.NA2023★ 5 cited

Model Order Reduction for Deforming Domain Problems in a Time-Continuous Space-Time Setting

Fabian Key, Max von Danwitz, Francesco Ballarin +1

In the context of simulation-based methods, multiple challenges arise, two of which are considered in this work. As a first challenge, problems including time-dependent phenomena w…

math.NA2022★ 16 cited

Time-Continuous and Time-Discontinuous Space-Time Finite Elements for Advection-Diffusion Problems

Max von Danwitz, Igor Voulis, Norbert Hosters +1

We construct four variants of space-time finite element discretizations based on linear tensor-product and simplex-type finite elements. The resulting discretizations are continuou…

math.NA2020★ 16 cited

Four-Dimensional Elastically Deformed Simplex Space-Time Meshes for Domains with Time Variant Topology

Max von Danwitz, Patrick Antony, Fabian Key +2

Thinking of the flow through biological or technical valves, there is a variety of applications in which the topology of a fluid domain changes over time. This topology change is c…