IR spectroscopy, or infrared spectroscopy, is an analytical technique used to identify and study chemical substances based on their interaction with infrared radiation. It measures the absorption of ...

Xiong, Wei Laaser, Jennifer E. Mehlenbacher, Randy D. and Zanni, Martin T. 2011. Adding a dimension to the infrared spectra of interfaces using heterodyne detected 2D sum-frequency generation (HD 2D ...

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Infrared spectroscopy products are used to analyze the interaction of molecules with infrared light and are used in the analysis of nanoscale semiconductors, protein characterization, and space ...

Definition: Fourier Transform Infrared (FTIR) Spectroscopy is a highly specialized type of IR spectroscopy. It's the most common way IR measurements are carried out today. FTIR is known for its speed, ...

IT is now becoming more widely realized that infrared spectroscopy has grown into a powerful new method for analysis and structural diagnosis, and as such it must be used by many who have hitherto ...

By coupling attenuated total reflectance-Fourier transform infrared (ATR-FTIR) spectroscopy with machine learning, the researchers say MG diagnosis could be made more rapid, sensitive, and ...

(InfraRed remote control) A handheld, wireless device used to operate audio, video and other electronic equipment within a room using light signals in the infrared (IR) range. Infrared light ...

The X-Ray Imaging and Spectroscopy Mission (XRISM) has revealed the structure, motion and temperature of the material around ...

New research from the University of Illinois Urbana-Champaign demonstrates that near-infrared (NIR) spectroscopy and machine learning can provide quick, accurate, and cost-effective product analysis.

Engineering researchers have successfully developed a quantum microprocessor chip for molecular spectroscopy simulation ... machine learning techniques like graph classification.