Researching | Customizable multifunctional metasurface absorber based on bidirectional deep neural networks covering the quasi-entire terahertz band

Chinese Optics Letters, Volume. 22, Issue 6, 063601(2024)

Customizable multifunctional metasurface absorber based on bidirectional deep neural networks covering the quasi-entire terahertz band

Zhipeng Ding¹, Wei Su^1、*, Lipeng’an Ye¹, Yuanhang Zhou¹, Wenlong Li¹, Riaz Ali¹, Bin Tang², and Hongbing Yao^1、**

Author Affiliations

¹College of Mechanics and Engineering Science, Hohai University, Nanjing 211100, China

²School of Microelectronics and Control Engineering, Changzhou University, Changzhou 213164, China

show less

Full Text Get PDF

Figures&Tables (5)

References (36)

Paper Information

References(36)

[1] Z. Y. Xu, K. Chen, H. X. Zhang et al. Multifunction lidar system based on polarization-division multiplexing. J. Lightwave Technol., 37, 2000(2019).

[2] K. Sun, W. Xiao, C. Wheeler et al. VO2 metasurface smart thermal emitter with high visual transparency for passive radiative cooling regulation in space and terrestrial applications. Nanophotonics, 11, 4101(2022).

[3] Q. Wang, P. Wang, J. Liu et al. High-Q resonances in terahertz all-silicon metasurface with imperforated air-hole array. Chin. Opt. Lett., 21, 113601(2023).

[4] Z. Ding, W. Su, L. Ye et al. An electrical/thermal dual-controlled quad-functional terahertz metasurface absorber. Phys. Chem. Chem. Phys., 25, 16331(2023).

[5] G. Xu, J. Peng, H. Zhang et al. All-multimode fiber spatiotemporal mode-locked figure-eight laser based on multimode gain fiber. Opt. Express, 31, 44603(2023).

[6] Z. Ding, W. Su, F. Hakimi et al. Machine learning in prediction of MXenes-based metasurface absorber for maximizing solar spectral absorption. Sol. Energy Mater. Sol. Cells, 262, 112563(2023).

[7] Y. Ren, T. Zhou, C. Jiang et al. Thermally switching between perfect absorber and asymmetric transmission in vanadium dioxide-assisted metamaterials. Opt. Express, 29, 7666(2021).

[8] Z. Ding, W. Su, H. Lu et al. Terahertz absorber based on double-layer graphene metasurface with tunable absorption window and intensity. Opt. Laser Technol., 163, 109446(2023).

[9] H. A. Qi, B. Tang. An active tunable terahertz functional metamaterial based on hybrid-graphene vanadium dioxide. Phys. Chem. Chem. Phys., 25, 7825(2023).

[10] Z. Yi, H. Lin, G. Niu et al. Graphene-based tunable triple-band plasmonic perfect metamaterial absorber with good angle-polarization-tolerance. Results Phys., 13, 102149(2019).

[11] Q. Xie, L. Guo, Z. Zhang et al. Versatile terahertz graphene metasurface based on plasmon-induced transparency. Appl. Surf. Sci., 604, 154575(2022).

[12] B. Wang, K. Gai, R. Wang et al. Ultra-broadband perfect terahertz absorber with periodic-conductivity graphene metasurface. Opt. Laser Technol., 154, 108297(2022).

[13] W. Su, Z. Ding, Y. Luo et al. Machine learning-enabled design of metasurface based near-perfect daytime radiative cooler. Sol. Energy Mater. Sol. Cells, 260, 112488(2023).

[14] P. Zamzam, P. Rezaei, Y. I. Abdulkarim et al. Graphene-based polarization-insensitive metamaterials with perfect absorption for terahertz biosensing applications: analytical approach. Opt. Laser Technol., 163, 109444(2023).

[15] Z. Ding, W. Su, H. Wu et al. Ultra-broadband tunable terahertz absorber based on graphene metasurface with multi-square rings. Mater. Sci. Semicon. Proc., 163, 107557(2023).

[16] Q. M. Zhang, H. Y. Yu, M. Barbiero et al. Artificial neural networks enabled by nanophotonics. Light Sci. Appl., 8, 42(2019).

[17] Z. Ding, W. Su, Y. Luo et al. Artificial neural network-based inverse design of metasurface absorber with tunable absorption window. Mater. Des., 234, 112331(2023).

[18] G. C. Ma, M. Yang, S. W. Xiao et al. Acoustic metasurface with hybrid resonances. Nat. Mater., 13, 873(2014).

[19] M. M. Vai, S. I. Wu, B. Li et al. Reverse modeling of microwave circuits with bidirectional neural network models. IEEE Trans. Microw. Theory Tech., 46, 1492(1998).

[20] Y. R. Qu, L. Jing, Y. C. Shen et al. Migrating knowledge between physical scenarios based on artificial neural networks. ACS Photonics, 6, 1168(2019).

[21] F. L. Wang, G. Z. Geng, X. Q. Wang et al. Visible achromatic metalens design based on artificial neural network. Adv. Opt. Mater., 10, 2101842(2022).

[22] Z. Ding, W. Su, Y. Luo et al. Design of an ultra-broadband terahertz absorber based on a patterned graphene metasurface with machine learning. J. Mater. Chem. C, 11, 5625(2023).

[23] D. J. Liu, Y. X. Tan, E. Khoram et al. Training deep neural networks for the inverse design of nanophotonic structures. ACS Photonics, 5, 1365(2018).

[24] C. Yeung, J. M. Tsai, B. King et al. Multiplexed supercell metasurface design and optimization with tandem residual networks. Nanophotonics, 10, 1133(2021).

[25] G. W. Hanson. Dyadic Green’s functions for an anisotropic, non-local model of biased graphene. IEEE Trans. Antennas Propag., 56, 747(2008).

[26] M. Liu, X. B. Yin, E. Ulin-Avila et al. A graphene-based broadband optical modulator. Nature, 474, 64(2011).

[27] H. L. Zhu, Y. Zhang, L. F. Ye et al. Switchable and tunable terahertz metamaterial absorber with broadband and multi-band absorption. Opt. Express, 28, 38626(2020).

[28] L. Huang, G. H. Hu, C. Y. Deng et al. Realization of mid-infrared broadband absorption in monolayer graphene based on strong coupling between graphene nanoribbons and metal tapered grooves. Opt. Express, 26, 29192(2018).

[29] P. B. Johnson, R. W. Christy. Optical constants of the noble metals. Phys. Rev. B, 6, 4370(1972).

[30] H. Yao, Z. Sun, X. Yan et al. Ultrasensitive, light-induced reversible multidimensional biosensing using THz metasurfaces hybridized with patterned graphene and perovskite. Nanophotonics, 11, 1219(2022).

[31] M. H. D. Ribeiro, L. D. Coelho. Ensemble approach based on bagging, boosting and stacking for short-term prediction in agribusiness time series. Appl. Soft Comput., 86, 105837(2020).

[32] Z. Ding, W. Su, Y. Luo et al. Machine learning in design of broadband terahertz absorbers based on composite structures. Mater. Des., 233, 112215(2023).

[33] Y. Zhang, Y. J. Feng, B. Zhu et al. Graphene based tunable metamaterial absorber and polarization modulation in terahertz frequency. Opt. Express, 22, 22743(2014).

[34] S. L. He, X. Z. Zhang, Y. R. He. Graphene nano-ribbon waveguides of record-small mode area and ultra-high effective refractive indices for future VLSI. Opt. Express, 21, 30664(2013).

[35] F. Chen, Y. Z. Cheng, H. Luo. A broadband tunable terahertz metamaterial absorber based on single-layer complementary gammadion-shaped graphene. Materials, 13, 860(2020).

[36] J. Z. Han, R. S. Chen. Tunable broadband terahertz absorber based on a single-layer graphene metasurface. Opt. Express, 28, 30289(2020).

Tools

Get Citation

Copy Citation Text

Zhipeng Ding, Wei Su, Lipeng’an Ye, Yuanhang Zhou, Wenlong Li, Riaz Ali, Bin Tang, Hongbing Yao, "Customizable multifunctional metasurface absorber based on bidirectional deep neural networks covering the quasi-entire terahertz band," Chin. Opt. Lett. 22, 063601 (2024)

Download Citation

EndNote(RIS)BibTex Plain Text

Set citation alerts for article

Save article for my favorites

Paper Information

Category: Nanophotonics, Metamaterials, and Plasmonics

Received: Dec. 11, 2023

Accepted: Feb. 18, 2024

Published Online: Jun. 18, 2024

The Author Email: Wei Su (opticsu@hhu.edu.cn), Hongbing Yao (alenyao@hhu.edu.cn)

DOI:10.3788/COL202422.063601

CSTR:32184.14.COL202422.063601

Topics

laser devices and laser physics

Lasers and Laser Optics

laser manufacturing

Instrumentation, Measurement and Metrology