Machine Learning, Lattice Structures, Graph Neural Networks, Architecture, Geometry.
methodology is that it is not possible to directly apply the trained model to predict compression behaviour for arbitrary finite chunks of lattices. For instance, one may be interested in the compressive behaviour of a manufactured part that is “filled” with lattice geometry. The ML model described