Physics-Informed Neural Networks (PINNs) are often overparameterized by orders of magnitude. Through experiments on phase field fracture, Burgers' equation, and hyperelastic deformation problems, networks with 50-400× fewer parameters achieved comparable accuracy to those in published literature. Small networks suffice for
•19m read time• From towardsdatascience.com
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