Unleashing the potential: AI empowered advanced metasurface research
In recent years, metasurface, as a representative of micro-and nano-optics, have
demonstrated a powerful ability to manipulate light, which can modulate a variety of physical …
demonstrated a powerful ability to manipulate light, which can modulate a variety of physical …
Flexible inverse design of microwave filter customized on demand with wavelet transform deep learning
Artificial intelligence (AI) techniques are increasingly being used for the inverse design of
microwave devices. However, several challenges, including intensive computation costs for …
microwave devices. However, several challenges, including intensive computation costs for …
Predicting the Maximum Achievable Antenna Bandwidth and Efficiency Using Machine Learning: a Terminal-Integrated Meander IFA Case Study
J Roqui, A Pegatoquet, L Santamaria… - IEEE Open Journal of …, 2024 - ieeexplore.ieee.org
In this paper, an approach based on Machine Learning (ML) to predict the maximum
achievable performance (fractional bandwidth and total efficiency) of a printed Inverted F …
achievable performance (fractional bandwidth and total efficiency) of a printed Inverted F …
[HTML][HTML] Multichannel Wavelet Kernel Network for High Dimensional Inverse Modeling of Microwave Filters
D Zhang, M Zhou, Z Wang, H Chen - Electronics, 2024 - mdpi.com
This paper proposes a multichannel wavelet kernel network (MWKN) modeling technique
with a two-stage training technique for high-dimensional inverse modeling of microwave …
with a two-stage training technique for high-dimensional inverse modeling of microwave …