TY - JOUR
T1 - Designing ultra-broadband terahertz polarization converters based on the transformer model
AU - Mao, Bingxuan
AU - Chang, Honghao
AU - Xing, Xiaohua
AU - Zhang, Qiankun
AU - Zou, Die
AU - Liu, Yin
AU - Yao, Jianquan
AU - Bi, Haixia
AU - Wu, Liang
N1 - Publisher Copyright:
© 2024 Elsevier B.V.
PY - 2024/5/15
Y1 - 2024/5/15
N2 - Polarization, a fundamental property of terahertz (THz) waves, can be controlled using metasurfaces for signal transmission and sensitive measurements. However, conventional methods for designing polarization-conversion metasurfaces require numerous numerical simulation iterations and trial and error attempts that are computationally intensive and time-consuming, necessitating a more rapid and efficient approach. This study proposes a transformer-based method for the inverse design of terahertz polarization converters; the approach can accurately design the corresponding metasurface based on the target spectrum. The model also comprises a forward network that can precisely and intuitively predict the meta-atoms spectra with high simulation speed and reduced computational cost. Using this approach, two ultra-broadband polarization conversion devices were designed in approximately 0.006 s within a target frequency range of 0.5–4 THz, with polarization conversion ratios greater than 90% within 1.23–3.19 THz and 1.18–3.24 THz. Additionally, the average cross-polarization ratio was greater than 50%. This study provides insights into designing terahertz polarization converters, which are applicable in terahertz communications, polarization imaging, and biomedical procedures.
AB - Polarization, a fundamental property of terahertz (THz) waves, can be controlled using metasurfaces for signal transmission and sensitive measurements. However, conventional methods for designing polarization-conversion metasurfaces require numerous numerical simulation iterations and trial and error attempts that are computationally intensive and time-consuming, necessitating a more rapid and efficient approach. This study proposes a transformer-based method for the inverse design of terahertz polarization converters; the approach can accurately design the corresponding metasurface based on the target spectrum. The model also comprises a forward network that can precisely and intuitively predict the meta-atoms spectra with high simulation speed and reduced computational cost. Using this approach, two ultra-broadband polarization conversion devices were designed in approximately 0.006 s within a target frequency range of 0.5–4 THz, with polarization conversion ratios greater than 90% within 1.23–3.19 THz and 1.18–3.24 THz. Additionally, the average cross-polarization ratio was greater than 50%. This study provides insights into designing terahertz polarization converters, which are applicable in terahertz communications, polarization imaging, and biomedical procedures.
KW - Deep learning
KW - Metasurface
KW - Polarization converter
KW - Ultra-broadband
UR - https://www.scopus.com/pages/publications/85187788663
U2 - 10.1016/j.optcom.2024.130434
DO - 10.1016/j.optcom.2024.130434
M3 - 文章
AN - SCOPUS:85187788663
SN - 0030-4018
VL - 559
JO - Optics Communications
JF - Optics Communications
M1 - 130434
ER -