Combining machine learning with surface-enhanced Raman scattering spectroscopy makes the analytical tool more powerful ...

Definition:Raman Spectroscopy is a sophisticated analytical technique used to observe vibrational, rotational, and other low-frequency modes in a system. This material characterization technique ...

Researchers at the University of Edinburgh have optimized a technique called Raman spectroscopy and paired it with machine learning to achieve unparalleled sensitivity in identifying stage 1a ...

In today’s fast-paced, results-driven world, the ability to quickly and accurately identify materials is essential across various industries. Whether in pharmaceuticals, chemicals, manufacturing, or ...

“What makes this test special is that it is the first of its kind to utilize Raman Spectroscopy and artificial intelligence (machine learning) to classify the four major breast cancer subtypes ...

In battery research, Raman spectroscopy is a key tool for analyzing materials, monitoring degradation, and optimizing performance in energy storage systems.

by applying machine learning approaches. Design, develop, and demonstrate high-sensitivity PAH and PAC detection based on surface-enhanced Raman spectroscopy (SERS), using specially designed and ...