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 ...
In a study published in Nature Nanotechnology, a team led by Prof. CHENG Huiming and PENG Jing from the Shenzhen Institute of Advanced Technology of the Chinese Academy of Sciences, along with Prof.
A machine learning pipeline identifies low-frequency Raman signatures as reliable indicators of liquid-like ionic conduction ...
All-solid-state batteries (ASSB) are widely recognized as a safer and potentially more energy-dense alternative to conventional lithium-ion ...
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