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Machine Learning Assisted Metasurface Design and Optimization for High-Performance Millimeter-Wave Transmitarray/Reflectarray Antennas.
Zhang, Shuai
(PI)
Tan, Zheng-Hua
(CoPI)
Department of Electronic Systems
The Technical Faculty of IT and Design
Antennas, Propagation and Millimetre-Wave Systems
Antennas
Machine Learning
AI for the People
Artificial Intelligence and Sound
Overview
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Project Details
Description
A Phd position is supported by ES department at AAU, aiming at applying machine learning to design and optimize metasurface.
Status
Active
Effective start/end date
01/11/2020
→
01/11/2023
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Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Machine learning
Engineering & Materials Science
100%
Millimeter waves
Engineering & Materials Science
67%
Antennas
Engineering & Materials Science
43%