This work presents a framework for developing physics-informed recurrent neural network
(PIRNN) models and PIRNN-based predictive control schemes for batch crystallization …

Crystal morphology is known to be of great importance to the end-use properties of crystal
products, and to affect down-stream processing such as filtration and drying. However, it has …

The optimization of a batch cooling crystallizer has been traditionally sought with respect to
the cooling profile and seeding characteristics that keep supersaturation at an optimum level …

As the pharmaceutical industry evolves and goes through the paradigm shift from batch to
continuous manufacturing, innovative processes need to be developed to replace unit …

Many active pharmaceutical ingredients (APIs) undergo degradation at high temperature.
Optimum cooling profiles from first principle models usually do not consider this degradation …

Effective utilization of solar energy is of great significance for a sustainable future. Herein,
we report a cascade system for hydrogen-electricity co-production (PH-PV) utilizing solar full …

A multi-scale pseudo-homogeneous one-dimensional model for the Fischer Tropsch fixed-
bed reactor has been developed in this study using a detailed mechanistic kinetic scheme …

Batch cooling crystallization is a type of crystallization wherein supersaturation is brought
about by reducing the temperature of the crystallization system with time. It is commonly …

Multiobjective optimization (MOO) of crystallization systems is gaining importance due to its
ability to handle multiple conflicting objectives together for finding optimal operating policies …

Multiobjective optimization (MOO) of batch cooling crystallization is carried out for the
development of optimal operating recipes for unseeded and seeded crystallization …