A Graph Neural Network based deep learning framework for predicting the thermomechanical behavior of thermoset shape memory polymers

The record describes a deep learning approach using a graph neural network to predict how thermoset shape-memory polymers behave under thermomechanical conditions. The provided information does not include an abstract, so details such as the specific inputs/outputs, training data, model architecture, or validation method are not available here. As a result, the scope is limited to the stated goal in the title: prediction of thermomechanical behavior for thermoset shape-memory polymers.