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Real-time elastic partial shape matching using a neural network-based adjoint method
Surface matching usually provides significant deformations that can lead to structural failure due to the lack of physical policy.
DeepPhysics: a physics aware deep learning framework for real-time simulation
In this paper, we propose a solution to simulate hyper-elastic materials using a data-driven approach, where a neural network is trained to learn the non-linear relationship between boundary conditions and the resulting displacement field.
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