Fig. 20: Network architecture for finite operator learning (FOL).
Information about the Young’s modulus distribution goes in and the unknown displacement components are evaluated utilizing deep neural networks.
Fig. 20: Network architecture for finite operator learning (FOL). | npj Computational Materials
