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Experiment-Informed Finite-Strain Inverse Design of Spinodal Metamaterials sciencesconf.org:esmc2025:592928 |
Language-based deep learning for design of shellular metamaterials sciencesconf.org:esmc2025:603343 |
Hetero-EUCLID: Simultaneously segmenting and discovering hyperelastic constitutive models of all components of a heterogeneous hyperelastic material using EUCLID. sciencesconf.org:esmc2025:593157 |
Inverse designing surface curvatures by deep learning sciencesconf.org:esmc2025:593110 |
Generative machine learning for accelerated modelling of microstructure evolution sciencesconf.org:esmc2025:593236 |
Learning textures via generative machine learning on SO(3) manifold sciencesconf.org:esmc2025:594082 |
Stochastic variational inference for myocardial constitutive models using heterogeneous displacement fields sciencesconf.org:esmc2025:592876 |
HyperCAN: Hypernetwork-driven deep parameterized constitutive models for metamaterials sciencesconf.org:esmc2025:593054 |