Entropy-based Active Learning of Graph Neural Network Surrogate Models for Materials Properties

Johannes Allotey, Keith T. Butler, Jeyan Thiyagalingam

Graph neural networks, trained on experimental or calculated data are becoming an increasingly important tool in computational materials science. Networks, once trained, are able t…