Machine Learning, Lattice Structures, Graph Neural Networks, Architecture, Geometry.
lattices are determined by a large number of design parameters that can vary independently. The solutions are therefore not unique, and defining a loss function that can cope with this non-uniqueness is critical to the success of the inverse problem. The forward model established through this