Reconstruction, forecasting, and stability of chaotic dynamics from partial data

no code implementations • 24 May 2023 • Elise Özalp, Georgios Margazoglou, Luca Magri

The forecasting and computation of the stability of chaotic systems from partial observations are tasks for which traditional equation-based methods may not be suitable.

Physics-Informed Long Short-Term Memory for Forecasting and Reconstruction of Chaos

no code implementations • 3 Feb 2023 • Elise Özalp, Georgios Margazoglou, Luca Magri

We present the Physics-Informed Long Short-Term Memory (PI-LSTM) network to reconstruct and predict the evolution of unmeasured variables in a chaotic system.