3 papers
physics.flu-dyn2026
Learning dynamically consistent flow reconstructions from limited observations
Lu Zhu, Jacob Page
A core inverse problem in the experimental sciences is the inference of a hidden dynamical state from sparse or indirect measurements. There is a natural opportunity for deep learn…
physics.flu-dyn2025
State estimation in homogeneous isotropic turbulence using super-resolution with a 4DVar training algorithm
Markus Weyrauch, Moritz Linkmann, Jacob Page
Variational data assimilation and machine-learning based super-resolution are two alternative approaches to state estimation in turbulent flows. The former is an optimisation probl…
physics.flu-dyn2024
Super-resolution with dynamics in the loss
Jacob Page
Super-resolution of turbulence is a term used to describe the prediction of high-resolution snapshots of a flow from coarse-grained observations. This is typically accomplished wit…