Neural-network surrogates and a cycle-consistent inverse design model are trained on 150 FEM simulations of silk-fibroin auxetic patches, achieving high R2 and low MAE, but the design outputs are only checked against the same surrogate models.
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Mechanics and Design of Metastructured Auxetic Patches with Bio-inspired Materials
Neural-network surrogates and a cycle-consistent inverse design model are trained on 150 FEM simulations of silk-fibroin auxetic patches, achieving high R2 and low MAE, but the design outputs are only checked against the same surrogate models.