A Deep Learning-Based Approach to Design Metasurfaces From Desired Far-Field Specifications

A Deep Learning-Based Approach to Design Metasurfaces From Desired Far-Field Specifications

A deep learning neural network model in conjunction with a method to incorporate auxiliary surface waves is developed for the macroscopic design of transmitting metasurfaces. The main input to the neural network model is the user-defined desired far-field specifications. This network is used to calc...

Full description

Bibliographic Details
Main Authors: Chen Niu, Mario Phaneuf, Tianke Qiu, Puyan Mojabi
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Open Journal of Antennas and Propagation
Subjects:
Deep-learning
metasurfaces
pattern synthesis
surface waves
Online Access:https://ieeexplore.ieee.org/document/10172261/

Internet

https://ieeexplore.ieee.org/document/10172261/

Similar Items