Temporal Derivatives Enabled by Neural Network-based Multilayered Metamaterial Designs
T. Knightle, Alex Yakovlev, Víctor Pacheco‐Peña · 2022 Sixteenth International Congress on Artificial Materials for Novel Wave Phenomena (Metamaterials) · 2022
In recent years, the arbitrary control of electromagnetic waves enabled by metamaterials and metasurfaces has opened interesting avenues to explore alternative wave based computing paradigms. Notably, analog optical computing is becoming a powerful tool for fast and energy efficient processing of mathematical operations. In this work, we will present our recent progress in the neural networks design of multilayered metamaterials capable of taking the temporal derivative of normally incident modulated temporal signals.