Detection and imaging of chemicals and hidden explosives using terahertz time-domain spectroscopy and deep learning

Detecting concealed chemicals and explosives remains a critical challenge in global security. Terahertz time-domain spectroscopy (THz-TDS) offers a promising non-invasive and stand-off detection technique owing to its ability to penetrate optically opaque materials without causing ionization damage. While many chemicals Read More …

Characterization of explosives in a controlled blast chamber using single-particle mass spectrometer for post-blast particle analysis

The detection and characterization of post-blast residues is critical for forensic attribution, explosive safety assessments, and environmental monitoring. In this study, five high explosives, HMX, TNT, Composition B, HNS, and PETN, were detonated under controlled chamber conditions and analyzed in Read More …

Stand-off hazardous materials identification based on near-infrared hyperspectral imaging combined with convolutional neural network

Near-infrared (NIR) hyperspectral imaging enables rapid, non-contact imaging of hazardous materials in a non-destructive manner, allowing for analysis based on spectral reflection information. However, using traditional methods, it is challenging to identify hazardous materials with less distinct spectral reflection features. Read More …