IEEE

Training Neural Operator Model and Solving Inverse Problems with AH FDTD Simulation Data

Abstract: This paper explores a data driven machine learning neural network, the neural operator network, as an alternative to traditional simulation methods for solving the inverse problem of the TMz ...
IEEE

Solving the Inverse Coefficient Problem Using Physics-Informed Neural Network Predictions

Abstract: The present study explores the effectiveness of using Physics-Informed Neural Network (PINN) predictions as an initial guess for iterative methods in solving an inverse coefficient problem, ...