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DATA DRIVEN SOLUTIONS AND DISCOVERIES IN MECHANICS USING PHYSICS INFORMED NEURAL NETWORK

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Figure

Fig. 1. Two schematics of the physics-informed neural network (PINN) [24,25].
Fig. 2. PINN training results for the one dimensional consolidation problem.
Fig. 3. PINN training results for the steady state heat conduction problem.
Fig. 4. PINN training results for the parameter identification problem, the identified valuesconverge to the true values during the training process.

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