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Research progress in intelligent metasurface−based terahertz wave control technologies
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Liming SI1, 2, 3, 4, 5, Jingsheng WANG1, 2, Rong NIU1, 2, Chenyang DANG1, 2, Zhaorui WANG1, 2, Xiue BAO1, 2, 3, Yan LI5, Houjun SUN1, 2, 3, Weiren ZHU6
Science & Technology Review | 2026, 44(9) : 43 - 61
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Science & Technology Review | 2026, 44(9): 43-61
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Research progress in intelligent metasurface−based terahertz wave control technologies
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Liming SI1, 2, 3, 4, 5, Jingsheng WANG1, 2, Rong NIU1, 2, Chenyang DANG1, 2, Zhaorui WANG1, 2, Xiue BAO1, 2, 3, Yan LI5, Houjun SUN1, 2, 3, Weiren ZHU6
Affiliations
  • 1School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing 100081, China
  • 2State Key Laboratory of Environment Characteristics and Effects for Near−space, Beijing 100081, China
  • 3Tangshan Research Institute, Beijing Institute of Technology, Tangshan 063000, China
  • 4State Key Laboratory of Millimeter Waves, Nanjing 210096, China
  • 5Faculty of Engineering, Shenzhen MSU−BIT University, Shenzhen 518172, China
  • 6School of Integrated Circuits, Shanghai Jiao Tong University, Shanghai 200240, China
Published: 2026-05-13 doi: 10.3981/j.issn.1000-7857.2026.03.00018
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Terahertz waves have shown significant application potential in sixth−generation mobile communications, biomedical imaging, and sensing, while metasurfaces provide a new approach for efficient terahertz−wave manipulation. This paper reviews recent progress in intelligent metasurface−based terahertz−wave control technologies. It systematically summarizes the major implementation routes, including mechanical reconfiguration, optoelectronic tuning, phase−change−material switching, integrated semiconductor devices, and programmable control. It also discusses recent advances in the use of artificial intelligence for inverse design, adaptive environmental interaction, multimodal sensing, and intelligent analysis of terahertz metasurfaces. Furthermore, representative applications in terahertz imaging, biomedical detection, 6G communications, defense and security, as well as system integration and prototype validation are reviewed. Existing studies indicate that intelligent terahertz metasurfaces are evolving from single−function devices toward system−level platforms integrating sensing, decision−making, and control. However, several key challenges remain, including sensitivity to device loss, insufficient front−end sensing hardware, complex array−level driving and packaging, stringent fabrication consistency requirements, and the lack of unified testing and evaluation methods. Future research should therefore focus on low−loss tunable materials, high−sensitivity sensing front ends, array−level collaborative integration, system prototype validation, and standardized evaluation methods, so as to promote the transition of intelligent terahertz metasurfaces from proof−of−concept demonstrations to stable engineering applications.

terahertz  /  metasurface  /  artificial intelligence  /  intelligent control
Liming SI, Jingsheng WANG, Rong NIU, Chenyang DANG, Zhaorui WANG, Xiue BAO, Yan LI, Houjun SUN, Weiren ZHU. Research progress in intelligent metasurface−based terahertz wave control technologies[J]. Science & Technology Review, 2026 , 44 (9) : 43 -61 . DOI: 10.3981/j.issn.1000-7857.2026.03.00018
Year 2026 volume 44 Issue 9
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Article Info
doi: 10.3981/j.issn.1000-7857.2026.03.00018
  • Receive Date:2026-02-27
  • Online Date:2026-05-27
  • Published:2026-05-13
Article Data
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  • Received:2026-02-27
  • Revised:2026-04-15
Funding
Affiliations
    1School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing 100081, China
    2State Key Laboratory of Environment Characteristics and Effects for Near−space, Beijing 100081, China
    3Tangshan Research Institute, Beijing Institute of Technology, Tangshan 063000, China
    4State Key Laboratory of Millimeter Waves, Nanjing 210096, China
    5Faculty of Engineering, Shenzhen MSU−BIT University, Shenzhen 518172, China
    6School of Integrated Circuits, Shanghai Jiao Tong University, Shanghai 200240, China
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表12种不同金属材料的力学参数

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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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