6 citations · 6 across the 3 of their papers we have counts for
4 papers
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…
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…
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…
Relaxation to magnetohydrodynamics equilibria via collision brackets
C. Bressan, M. Kraus, P. J. Morrison +1
Metriplectic dynamics is applied to compute equilibria of fluid dynamical systems. The result is a relaxation method in which Hamiltonian dynamics (symplectic structure) is combine…