Fig. 21: Network architecture for spectral-based physics-informed finite operator learning (SPiFOL).

Information about the Young’s modulus distribution goes in and the unknown strain components are evaluated. Here, the Lippmann-Schwinger operator is built based on the fixed finite output space and FFT based physical loss is defined.