Embedding physical knowledge in deep neural networks for predicting the phonon dispersion curves of cellular metamaterials

Artificial neural networks and deep learning (68T07) Learning and adaptive systems in artificial intelligence (68T05) Composite and mixture properties (74E30) Waves in solid mechanics (74J99) Numerical and other methods in solid mechanics (74S99)

Cites Work

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Predicting band structure of 3D mechanical metamaterials with complex geometry via XFEM
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Deep learning of vortex-induced vibrations
Systematic design of phononic band–gap materials and structures by topology optimization