The training process for neural networks incorporates a physics-informed loss function that penalizes the model whenever predicted deformation violates symbolic mechanical constraints, such as equilibrium equations or stress-strain relationships, ensuring physically consistent designs.

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• Person: Not available Organization: arXiv
  Unlocking the Potential of Generative AI through Neuro-Symbolic ...

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• Unlocking the Potential of Generative AI through Neuro-Symbolic ... arxiv.org arXiv via serper

Referenced by nodes (1)

• artificial neural networks concept