Robotics & Machine Learning Daily News2024,Issue(Sep.19) :12-12.

Data on Machine Learning Reported by Zhiyuan Li and Colleagues (High-throughput calculations and machine learning modeling of 17O NMR in non-magnetic oxides)

Robotics & Machine Learning Daily News2024,Issue(Sep.19) :12-12.

Data on Machine Learning Reported by Zhiyuan Li and Colleagues (High-throughput calculations and machine learning modeling of 17O NMR in non-magnetic oxides)

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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 Darmstadt, Ger many, by NewsRx journalists, research stated, “The only NMRactive oxygen isotop e, oxygen-17 (O), serves as a sensitive probe due to its large chemical shift ra nge, the electric field gradient at the oxygen site, and the quadrupolar interac tion. Consequently, O solid-state NMR offers unique insights into local structur es and finds significant applications in the studies of disorder, reactivity, an d host-guest chemistry.” Funders for this research include Deutsche Forschungsgemeinschaft, Bundesministe rium fur Bildung und Forschung.

Key words

Darmstadt/Germany/Europe/Anions/Cybo rgs/Emerging Technologies/Machine Learning/Oxides/Oxygen Compounds

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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