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Continuous optimization of material composition and topology in 3D printing could revolutionize the design of soft robotics, enhancing performance and efficiency.
Unlock rapid constitutive model discovery by fusing AI-enabled modeling, sparsification, and adjoint optimization with multi-modal data, enabling transfer learning across materials.
