3 papers
nlin.CD2025
Learning dissipation and instability fields from chaotic dynamics
Ludovico T Giorgini, Andre N Souza, Domenico Lippolis +2
To make predictions or design control, information on local sensitivity of initial conditions and state-space contraction is both central, and often instrumental. However, it is no…
physics.flu-dyn2024
Improved Greedy Identification of Latent Dynamics with Application to Fluid Flows
R. Ayoub, M. Oulghelou, P. J Schmid
Model reduction is a key technology for large-scale physical systems in science and engineering, as it brings behavior expressed in many degrees of freedom to a more manageable siz…
physics.comp-ph2024
A Hybrid Discrete Exterior Calculus Discretization and Fourier Transform of the Incompressible Navier-Stokes Equations in 3D
Abdullah Abukhwejah, Pankaj Jagad, Ravi Samtaney +1
The simulation of fluid flow problems, specifically incompressible flows governed by the Navier-Stokes equations (NSE), holds fundamental significance in a range of scientific and…