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

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 ...

All-solid-state batteries (ASSB) are widely recognized as a safer and potentially more energy-dense alternative to conventional lithium-ion ...

Raman microspectrometry works by combining the spatial resolving power of microscopy methods with the spectroscopic information provided by Raman spectroscopy. By translating a focused beam of light ...

Coherent anti-Stokes Raman scattering (CARS) spectroscopy is a powerful, non-invasive optical diagnostic tool that leverages nonlinear light–matter interactions to probe molecular vibrational and ...

Stimulated Raman Scattering (SRS) has been developed as an essential quantitative contrast for chemical imaging in recent years. However, the spectral resolution of the mainstream SRS modalities is ...

During light scattering, the majority of scattered light undergoes no change in frequency (or energy), in a process referred to as referred to as elastic or Rayleigh scattering. Raman spectroscopy ...

Detecting nanoscale plastic pollutants in the environment is a continuing challenge, and their presence is commonly only estimated rather than measured directly. A project at Vienna's TU Wien has now ...

(a) Schematic diagram of the pump burst and the Stokes burst in the time domain. N: number of pulses in burst. ∆τ: inter-pulse temporal separation. φ: pulse-to-pulse offset phase. Ω R: Raman frequency ...

In this interview, Dr. Joshua Lea explores the role of the integration of Raman spectroscopy with SEM technology for advanced materials analysis. Can you introduce yourself and the topic you will be ...