A new AI-driven technique spots the telltale Raman signal of liquid-like ion motion—helping scientists rapidly identify materials for next-generation solid-state batteries. All-solid-state batteries ( ...

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 ...

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 ...

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 ...

Applied physicists in the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) have discovered a new way to generate ultra-precise, evenly spaced "combs" of laser light on a ...

Understanding complex biological and biomedical systems is greatly aided by 3D imaging, which provides much more detailed information than traditional two-dimensional methods. However, live cell and ...

Raman microspectroscopy has emerged as an effective analytical method for investigating microplastics in environmental matrices. Its molecular-level analysis of plastic particles enables researchers ...