3 papers
nlin.CD2026
Adjoint-based optimization with quantized local reduced-order models for spatiotemporally chaotic systems
Defne E. Ozan, Antonio Colanera, Luca Magri
We introduce a computationally efficient and accurate reduced order modelling approach for the optimization of spatiotemporally chaotic systems. The proposed method combines quanti…
physics.flu-dyn2025
Towards extreme event prediction of turbulent flows with quantized local reduced-order models
Antonio Colanera, Luca Magri
This work develops quantized local reduced-order models (ql-ROMs) of the turbulent Minimal Flow Unit (MFU) for the analysis and interpretation of intermittent dissipative dynamics…
physics.comp-ph2025
Quantized local reduced-order modeling in time (ql-ROM)
Antonio Colanera, Luca Magri
Spatiotemporally chaotic systems, such as the solutions of some nonlinear partial differential equations, are dynamical systems that evolve toward a lower dimensional manifold. Thi…