Litcius/Paper detail

Machine learning approaches to the prediction of powder flow behaviour of pharmaceutical materials from physical properties

Laura Pereira Diaz, Cameron J. Brown, Ebenezer Ojo, Chantal L. Mustoe, Alastair J. Florence

2023Digital Discovery27 citationsDOIOpen Access PDF

Abstract

A Machine Learning (ML) approach was proposed to optimize the manufacturing-route selection from the physical particle properties of a pharmaceutical material.

Topics & Concepts

Flow propertiesSelection (genetic algorithm)Computer scienceParticle (ecology)Biochemical engineeringMaterials scienceMachine learningProcess engineeringArtificial intelligenceEngineeringMechanicsPhysicsGeologyOceanographyDrug Solubulity and Delivery SystemsInjection Molding Process and PropertiesMineral Processing and Grinding
Machine learning approaches to the prediction of powder flow behaviour of pharmaceutical materials from physical properties | Litcius