Non-Intrusive Reduced Models based on Operator Inference for Chaotic Systems

João Lucas de Sousa Almeida, Arthur Cancellieri Pires, Klaus Feine Vaz Cid +1

This work explores the physics-driven machine learning technique Operator Inference (OpInf) for predicting the state of chaotic dynamical systems. OpInf provides a non-intrusive ap…