首页|Data on Machine Learning Reported by Zhiyuan Li and Colleagues (High-throughput calculations and machine learning modeling of 17O NMR in non-magnetic oxides)
Data on Machine Learning Reported by Zhiyuan Li and Colleagues (High-throughput calculations and machine learning modeling of 17O NMR in non-magnetic oxides)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
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.
NETL
NSTL
