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 ...
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.
At Pittcon 2026 in San Antonio, Dr. Lenka Halámková of Texas Tech walked through a multimodal workflow that combines Raman ...
A new AI-driven technique spots the telltale Raman signal of liquid-like ion motion—helping scientists rapidly identify ...
All-solid-state batteries (ASSB) are widely recognized as a safer and potentially more energy-dense alternative to conventional lithium-ion ...
The Deep Potential Model paired with Raman spectroscopy show unexpected findings when a highly symmetric material is bent in a zigzag pattern.
A PDF version of this document with embedded text is available at the link below: US012203862B1 (12) United States Patent LaChapelle et al. (54) RAMAN SPECTROSCOPY SYSTEM (71) Applicant: Haemanthus, ...
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