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A physics-inspired deep neural network is used to numerically solve diffusion induced stress (DIS) in an elastic spherical electrode, and the accuracies are above 97.98% and 92.56% for decoupling and coupling problems, respectively.

A physics-inspired neural network to solve partial differential equations – application in diffusion-induced stress