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physics.comp-ph2021★ 2 cited
Learning the GENERIC evolution
Martin Šípka, Michal Pavelka
We propose a novel approach for learning the evolution that employs differentiable neural networks to approximate the full GENERIC structure. Instead of manually choosing the fitte…
physics.comp-ph2018
Ehrenfest regularization of Hamiltonian systems
Michal Pavelka, Vaclav Klika, Miroslav Grmela
Imagine a freely rotating rigid body. The body has three principal axes of rotation. It follows from mathematical analysis of the evolution equations that pure rotations around the…