A machine learning pipeline identifies low-frequency Raman signatures as reliable indicators of liquid-like ionic conduction ...

A new AI-driven technique spots the telltale Raman signal of liquid-like ion motion—helping scientists rapidly identify ...

Solid-state batteries could be safer and more energy-dense than today’s lithium-ion technology, but finding materials that allow ions to move quickly through solid electrolytes has been difficult.

A team of researchers at the Technical University of Munich and ́Ecole Polytechnique Fédérale de Lausanne has developed an innovative computational approach combining machine learning and Raman ...

Nonlinear Raman microscopy techniques, such as coherent anti-Stokes Raman scattering and stimulated Raman scattering, are widely used to provide chemical and spatial information. A third nonlinear ...

As a probe of vibrational transitions, Raman scattering has made great progress since it was first discovered and is considered a phenomenon that has led to the development of various schemes and ...

Raman spectroscopy is a reliable quantitative and qualitative technique used to examine molecular or material samples. Raman spectroscopy’s sensitivity to a sample’s vibrational structure makes it ...

In confocal Raman microscopy, a Raman spectrometer is coupled to a standard optical microscope, which leads to a high magnification of the sample and subsequent Raman analysis. Combining Raman ...