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20222025
most citedPhysical Activation Functions (PAFs): An Approach for More Efficient Induction of Physics into Physics-Informed Neural Networks (PINNs)

42 citations · 52 across the 5 of their papers we have counts for

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Showing 2023 · physics.comp-phShow all

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physics.comp-ph2023★ 9 cited

Simulation and Prediction of Countercurrent Spontaneous Imbibition at Early and Late Times Using Physics-Informed Neural Networks

Jassem Abbasi, Pål Østebø Andersen

The application of Physics-Informed Neural Networks (PINNs) is investigated for the first time in solving the one-dimensional Countercurrent spontaneous imbibition (COUCSI) problem…