Machine-learning-assisted multiscale topology optimization of functionally graded superimposed lattice structures

Functionally graded lattice structures enable lightweight designs with spatially tunable stiffness and density, but their use in multiscale topology optimization is limited by the cost of repeated computational homogenization. This work presents a machine learning-assisted multiscale optimization fr