Robotics & Machine Learning Daily News2024,Issue(Sep.26) :22-23.

Fritz-Haber Institute of the Max Planck Society Reports Findings in Machine Lear ning (Tracking Li atoms in real-time with ultra-fast NMR simulations)

Robotics & Machine Learning Daily News2024,Issue(Sep.26) :22-23.

Fritz-Haber Institute of the Max Planck Society Reports Findings in Machine Lear ning (Tracking Li atoms in real-time with ultra-fast NMR simulations)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting originating in Berlin, German y, by NewsRx journalists, research stated, “We present for the first time a mult iscale machine learning approach to jointly simulate atomic structure and dynami cs with the corresponding solid state Nuclear Magnetic Resonance (ssNMR) observa bles. We study the use-case of spin-alignment echo (SAE) NMR for exploring Li-io n diffusion within the solid state electrolyte material LiPS (LPS) by calculatin g quadrupolar frequencies of Li.”

Key words

Berlin/Germany/Europe/Cyborgs/Diagno stics and Screening/Emerging Technologies/Health and Medicine/Machine Learnin g/Nuclear Magnetic Resonance

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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