most citedThe Challenges of the Nonlinear Regime for Physics-Informed Neural Networks

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physics.flu-dyn2024★ 2 cited

Hammering at the entropy: A GENERIC-guided approach to learning polymeric rheological constitutive equations using PINNs

David Nieto Simavilla, Andrea Bonfanti, Imanol García de Beristain +2

We present a versatile framework that employs Physics-Informed Neural Networks (PINNs) to discover the entropic contribution that leads to the constitutive equation for the extra-s…