Identifying structural signatures of shear banding in model polymer nanopillars

Abstract

Shear band formation often proceeds fracture in amorphous materials. While mesoscale models postulate an underlying defect structure to explain this phenomenon, they do not detail the microscopic properties of these defects especially in strongly confined materials. Here, we use machine learning methods to uncover these microscopic defects in simulated polymer nanopillars.