Machine learning for revealing the relationship between the process–structure–properties of polypropylene in-reactor alloys

Abstract

Polypropylene reactor alloys with distinct structures were synthesized, and machine learning models were developed to reveal the relationship between the process–structure–properties and optimize process conditions.