11 papers
Transferable inference of turbulence models for urban flows with the Parameter-Regularised Ensemble Kalman Filter
Emanuele Bombardi, Andrea Nóvoa, Luca Magri +1
The accurate simulation of urban flow is key to designing building ventilation, understanding cities' micrometeorology, and predicting pollutant dispersion. Reynolds-Averaged Navie…
Convolutional Symmetric AutoEncoders: enhancing latent stability via differential geometry
G. Li Causi, N. Tonicello, L. Magri +1
Autoencoders (AEs) have emerged as powerful tools for non-linear dimensionality reduction, often surpassing traditional linear methods such as Proper Orthogonal Decomposition (POD)…
Precursors of extreme events and critical transitions
Riccardo Consonni, Luca Magri
We propose a theory based on dynamical systems to explain and predict the occurrence of extreme events, of which critical transitions form a subset. In fast-slow nonlinear systems,…
Prediction of chaotic dynamics from data: An introduction
Luca Magri, Andrea Nóvoa, Elise Ãzalp
This chapter offers a principled approach to the prediction of chaotic systems from data. First, we introduce some concepts from dynamical systems' theory and chaos theory. Second,…
Latent attention on masked patches for flow reconstruction
Ben Eze, Luca Magri, Andrea Nóvoa
Vision transformers have shown outstanding performance in image generation, yet their adoption in fluid dynamics remains limited. We introduce the Latent Attention on Masked Patche…
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…