Learning Nonlocal Interactions in Large-Scale Heterogeneous Metamaterials through Scientific Machine Learning
DANO is presented, which learns configuration-dependent interactions in heterogeneous systems governed by linear field equations from field data alone, and its full-field prediction under geometric heterogeneity and across drive conditions, small-to-large domain transfer, and multifunctional inverse design is demonstra...