MagriLab

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Robust QRCs with generalized synchronization

Flow reconstruction from experimental data with machine learning.

Learning the stability properties of dissipative systems in the latent manifold.

Pseudospectral Kolmogorov Flow Solver

Physics-Informed Super-Resolution

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Implementation of the convolutional autoencoder echo state netowrk (CAE-ESN) applied to the Kolmogorov flow.

Tutorials: Predictions in Chaotic Dynamical Systems

Hard-constrained neural networks for thermoacoustics

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Explore Echo State Networks (ESNs) with a comprehensive implementation, validation code, and step-by-step tutorial.

Validation strategies (including Recycle Validation and K-Fold Validation) for ESNs. A.Racca and L.Magri, Neural Networks (2021).

Implementation of Recurrence-free QRC with denoising for optimal training

Prediction and control of turbulent shear flow with Echo State Networks. A. Racca and L. Magri, Lecture Notes in Computer Science (2022); Physical Review Fluids (2022).

Create an LSTM to predict the time evolution of the Lorenz equations

Real-time thermoacoustics data assimilation

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Physics-Informed Corruption Removal

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Mode decomposing autoencoder and related.

Quick code to test Yellowstone cluster

Riemannian geometry in JAX

Automatic-differentiated Physics-Informed Echo State Network (API-ESN) for the reconstruction of hidden states in dynamical systems. A.Racca and L.Magri, Lecture Notes in Computer Science (2021).

Code for the Newton Institute Workshop 2023

Bias-aware real-time thermoacoustic Data Assimilation.