fig4

Figure 4. ML for the design of static characteristics in mechanical meta-structures. (A) Searching for the graphene kirigami with the best stretching performance through gradual training of CNN^[132]. Reproduced with the permission of Ref.[132] Copyright 2018, the American Physical Society. (B) Combining CNN and GA to realize lattice metamaterial design satisfying additive manufacturing constraints^[136]. (C) Design of curved beams with best mechanical properties based on MLP and optimization methods^[138]. Reproduced with the permission of Ref.^[138]Copyright 2020, Elsevier. (D) Design of lightweight lattice structures by GAN-based inverse design framework^[139].