![Graph Convolutional Neural Networks for Fast and Accurate Predictions of Formation Energy and Mechanical Properties of Solid Solution Alloys with Multiple Crystal Structures](/sites/default/files/styles/list_page_thumbnail/public/2022-07/graph_convolutional_neural_networks_for_fast_and_accurate_predictions_of_formation_energy_and_mechanical_properties_of_solid_solution_alloys_with_multiple_crystal_structures.png?h=4cd223ec&itok=S3rAhqrN)
A graph convolutional neural network (GCNN) was trained to accurately predict formation energy and mechanical properties of solid solution alloys crystallized in different lattice structures, thereby advancing the design of alloys for improving mechanic