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From street to lab: Advancing controlled substance testing with handheld Raman and FTIR

Discover how Thermo Fisher’s handheld Raman and lab FTIR tools are transforming controlled substance testing with safer, ...
AZoM on MSN

Combining STEM and PiFM for Nanoscale Material Analysis

Scanning Transmission Electron Microscopy (STEM) and Photo-Induced Force Microscopy (PiFM) enable comprehensive nanoscale ...

Ice XXI: Scientists use X-ray laser to identify new room-temperature phase

Ice cream comes in many different flavors. But even pure ice, which consists only of water molecules, has been discovered to ...
IEEE

Data-Drive-Based Machine Learning and Singular Spectrum Analysis to Identify Optical Patterns in Harsh Environments

Abstract: This article proposes an enhancement of a singular spectrum analysis (SSA) technique based on Hilbert matrix (SSA-H) for autonomous navigation systems in a harsh environment. SSA is a ...
IEEE

Four Typical Variation Patterns of Mid-Infrared Spectra of the Felsic Mineral Anomalies for Fault Zone Identification

Abstract: Mid-infrared (IR) spectroscopy has the advantage of being fast and nondestructive for mineral identification and geological analysis. Mineral anomalies in fault zones are geological markers ...
SciELO

Vibrational spectra of bis(dmit) complexes of main group metals: IR, Raman and ab initio calculations

This work reports a theoretical-experimental investigation of the infrared/Raman vibrational spectra of several metal 1,3-dithole-2-thione-4,5-dithiolate (dmit) complexes; [NEt4]2[Zn(dmit)2], ...
C&EN

Explainable Machine Learning for Characterizing Unknown Molecular Structures in Infrared Spectra

Various machine learning methods for detecting functional groups in infrared (IR) spectra have been developed to accelerate time-consuming and labor-intensive IR spectrum analysis. Nevertheless, ...