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Terahertz metamaterial liquid detector optimized by deep learning.

Xuyan Li1, Zhibo Wu1, Yujie Zhang2

  • 1School of Electrical and Control Engineering, North University of China, Taiyuan, 030051, China.

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|December 29, 2025
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Summary
This summary is machine-generated.

This study introduces a novel metamaterial terahertz detector for label-free ethanol sensing. The device achieves high sensitivity and accuracy, offering a new method for detecting ethanol concentration in various applications.

Keywords:
DNNDetectorLiquidMetamaterialTHz

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Area of Science:

  • Terahertz (THz) spectroscopy
  • Metamaterial science
  • Sensing technology

Background:

  • Label-free detection methods are crucial for real-time analysis.
  • Metamaterials offer unique electromagnetic properties for sensing applications.
  • Ethanol detection is vital in food safety, environmental monitoring, and biomedicine.

Purpose of the Study:

  • To propose a novel metamaterial-based terahertz detector for label-free ethanol liquid detection.
  • To optimize the detector's structural parameters for enhanced performance.
  • To investigate the detector's response to varying ethanol concentrations, volumes, and temperatures.

Main Methods:

  • Design and simulation of a five-layer metamaterial terahertz detector.
  • Optimization of structural parameters using a deep neural network (DNN).
  • Analysis of absorption peak shifts, magnetic field strength, and surface current distribution using CST simulations.

Main Results:

  • Achieved high absorption rates and displacement values.
  • Demonstrated a sensitivity of 3.33 THz/RIU and a figure of merit (FOM) of 66 RIU⁻¹.
  • Observed distinct shifts in absorption peaks correlating with ethanol concentration, droplet volume, and temperature.

Conclusions:

  • The proposed metamaterial detector provides an efficient and precise method for label-free ethanol detection.
  • The unique properties of VO₂ at different temperatures enhance detection accuracy.
  • The study offers a valuable reference for future applications in food safety, environmental monitoring, and biomedicine.