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Showing 1 to 1 of 1 for “"Neural network surrogate modeling"”.
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Application of data-driven neural networks to bio-inspired lattice design and prediction of multiphysics solution fields
… decisions. This study develops conventional deep neural networks and deep operator-learning surrogates that predict full temperature and stress fields from process and geometry inputs, accelerating evaluation by orders of magnitude relative to finite element analysis (FEA). Bio-inspired, …