Reactive crystallization is not new, but there has been recent growth in its use as a means of
improving performance and sustainability of industrial processes. This review examines …

This work develops a framework for building machine learning models and machine-
learning-based predictive control schemes for batch crystallization processes. We consider …

Abstract Process Analytical Technology (PAT) has revolutionized pharmaceutical
manufacturing by providing real-time monitoring and control capabilities throughout the …

This work considers a seeded fesoterodine fumarate (FF) cooling crystallization and
presents the methodology and implementation of a real‐time machine learning modeling …

Obtaining a particle size within the specifications for a pharmaceutical compound in an
industrial crystallization can be a challenging task. The events affecting the final particle size …

Both primary and secondary nucleation rates are considered in a model developed for
unseeded batch crystallization. A carefully designed strategy was employed to minimize the …

Abstract Information about size and shape of particles produced in various manufacturing
processes is very important for process and product development because design of …

Pharmaceutical crystallization has an impact on the properties of active pharmaceutical
ingredients as it determines the purity, crystal size distribution and polymorphs, among other …

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 …

A novel wet milling-based automated direct nucleation control (WMADNC) concept is
proposed and implemented in two continuous cooling crystallization processes in this work …