Daniel J. Read

Universal Prediction of Molecular Weight Distribution for Entangled Linear Polymers from Linear Rheology Using Neural Networks

Abstract We present a machine learning methodology for inferring the molecular weight distribution (MWD) of arbitrary polydisperse entangled linear polymers from their linear rheology. Using a state-of-the-art tube model, we generate large synthetic rheology datasets to train neu...