3 papers
cs.LG2026
Neural non-canonical Hamiltonian dynamics for long-time simulations
Clémentine Courtès, Emmanuel Franck, Michael Kraus +2
This work focuses on learning non-canonical Hamiltonian dynamics from data, where long-term predictions require the preservation of structure both in the learned model and in numer…
math-ph2026
Metriplectic relaxation to equilibria
C. Bressan, M. Kraus, O. Maj +1
Metriplectic dynamical systems consist of a special combination of a Hamiltonian and a (generalized) entropy-gradient flow, such that the Hamiltonian is conserved and entropy is di…
cs.CE2024
Energy-based, geometric, and compositional formulation of fluid and plasma models
Markus Lohmayer, Michael Kraus, Sigrid Leyendecker
Fluid dynamics plays a crucial role in various multiphysics applications, including energy systems, electronics cooling, and biomedical engineering. Developing models for complex c…