Fourier Neural Operator (FNO) for Forecasting

Auto-generated stub. Edit this file to add more details.

Using a Fourier Neural Operator to learn the spatiotemporal evolution of system states for fast forecasting in a control loop.

Why It Matters

The FNO is the core learned operator used as a fast, differentiable surrogate for the complex multiphase dynamics within the Model Predictive Control (MPC) framework.

Evidence

A Fourier Neural Operator (FNO) is trained to forecast the spatiotemporal evolution of a phase-indicator field

Related Papers

• openalex-2603.25308-real-time-control-of-multiphase-processes-with-learned-opera