Accelerated Data-Driven Discovery and Screening of Two-Dimensional Magnets Using Graph Neural Networks
Accelerated Data-Driven Discovery and Screening of Two-Dimensional Magnets Using Graph Neural Networks
In this study, we employ graph neural networks (GNNs) to accelerate the discovery of novel 2D magnetic materials which have transformative potential in spintronic applications. Using data from the Materials Project database and the Computational 2D materials database, we train three GNN architectures on a dataset of 1190 magnetic monolayers …