Neural networks for spectral optimization
Two neural network models are proposed which learn the spectrum directly from the geometry of the domain and can be used to optimize the domain from one or more eigenvalues, and which produce accurate differentiable estimates of eigenvalues, which can be used in shape optimization problems involving spectral quantities...
A. de-Villeroche, Beniamin Bogosel, Stéphane Breuils et al.
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