Predicting grain boundary damage by machine learning
Sheng Zhang, Leyun Wang, Gaoming Zhu, Martin Diehl, Alireza Maldar, Xiaoqing Shang, Xiaoqin Zeng
Topics & Concepts
Grain boundaryMaterials scienceNucleationMicrostructureTexture (cosmology)Deformation (meteorology)Artificial intelligenceStress (linguistics)Machine learningUltimate tensile strengthPlasticityGrain boundary strengtheningMetallurgyComposite materialComputer scienceThermodynamicsImage (mathematics)PhilosophyLinguisticsPhysicsMicrostructure and mechanical propertiesMetal and Thin Film MechanicsMagnesium Alloys: Properties and Applications