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Extreme response estimation in structural optimization just got a major upgrade with the GSS-SPCE framework, slashing computational costs while enhancing accuracy.
Accurately modeling the behavior of complex structures under extreme conditions just got easier: a new class of hybrid neural networks can handle both parameter and predictive uncertainty.
