首页|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)
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)
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 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.”
BerlinGermanyEuropeCyborgsDiagno stics and ScreeningEmerging TechnologiesHealth and MedicineMachine Learnin gNuclear Magnetic Resonance
NETL
NSTL
