When you shine a flashlight into a glass of water, the beam bends. That simple observation, familiar since ancient times, ...
Abstract: In this letter, we explore the feasibility of using machine learning (ML) to address time-domain electromagnetic forward and inverse problems. A novel ML-associated Hermite (AH) ...