Application of PINN and PCL methods
Parameter identification by physics-guided neural network
Article REF: S7221 V1
Application of PINN and PCL methods
Parameter identification by physics-guided neural network

Authors : Roberta TITTARELLI, Patrice LE MOAL, Morvan OUISSE, Emmanuel RAMASSO

Publication date: October 10, 2024 | Lire en français

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2. Application of PINN and PCL methods

This section illustrates the application of the PINN and PCL methods to a concrete inverse physics problem.

2.1 Physical problem considered

The physical problem considered as an example is that of charging an R-C circuit with a voltage generator. E a capacitor of capacity c through an ohmic conductor of resistance R . Voltage u across the capacitor evolves according...

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