Terahertz technology and applications

Neueste Paper

• Self-Supervised Noise2Noise-Enhanced Denoising for Continuous-Scan Air-Plasma THz Spectroscopy

  Adam Umra, Oways Alsoloh, Oliver Nagy, Aydin Sezgin, Clara Saraceno · 18. August 2026

  Terahertz time-domain spectroscopy (THz-TDS) based on air-plasma generation and balanced air-biased coherent detection offers gap-free broadband coverage, but individual continuous-scan traces are strongly affected by pulse-to-pulse fluctuations and electronic noise. Reaching a useful signal-to-nois…

• Beer-Lambert Guided Representation Learning for Unsupervised Anomaly Detection in Sub-THz Food Inspection Images

  Gyutae Hwang, Sang Jun Lee · 16. Juni 2026

  Food manufacturing requires reliable inspection systems to detect foreign material contamination and maintain product safety. Sub-THz transmission imaging provides material-dependent attenuation characteristics that are useful for detecting low-density contaminants in food products. However, existin…

• Multi-Scale Feature Attention Network for Polymer Classification Using Terahertz Spectroscopy

  Roshni Mahtani, Il\'an Carretero, Laura Monroy, Aldo Moreno-Oyervides, Oscar El\'ias Bonilla-Manrique, Roc\'io del Amor · 9. Juni 2026

  Reliable polymer identification is essential for ensuring the quality and safety of recycled plastics, yet conventional sorting and spectroscopic techniques often struggle to deliver robust discrimination. Terahertz (THz) spectroscopy offers a promising alternative, providing high-resolution and non…

• Multi-Scale Feature Attention Network for Polymer Classification using THz Dual-Comb Spectroscopy

  Roshni Mahtani, Il\'an Carretero, Laura Monroy, Aldo Moreno-Oyervides, Oscar El\'ias Bonilla-Manrique, Roc\'io del Amor · 8. Juni 2026

  Reliable polymer identification is essential for ensuring the quality and safety of recycled plastics, yet conventional sorting and spectroscopic techniques often struggle to deliver robust discrimination. Terahertz Dual-Comb Spectroscopy (THz-DCS) offers a promising alternative, providing rapid, hi…

• Principal Component Analysis-Based Terahertz Self-Supervised Denoising and Deblurring Deep Neural Networks

  Pengfei Zhu, Stefano Sfarra, Hai Zhang, Carlo Santulli, Elana Pivarciova, Fabrizio Sarasini, Xavier Maldague · 20. Januar 2026

  Terahertz (THz) systems inherently introduce frequency-dependent degradation effects, resulting in low-frequency blurring and high-frequency noise in amplitude images. Conventional image processing techniques cannot simultaneously address both issues, and manual intervention is often required due to…