Neural network augmented modeling with applications to active matter

Prithvi Dake

Prithvi is developing a hybrid model for a vinyl acetate plant, integrating neural networks with first principles to improve process modeling. The aim is to assess the predictive capability of these hybrid models for determining the plant's optimal operation.