A machine learning protocol for revealing ion transport mechanisms from dynamic NMR shifts in paramagnetic battery materials
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DOI: 10.1039/d2sc01306a
Abstract: Solid-state nuclear magnetic resonance (ssNMR) provides local environments and dynamic fingerprints of alkali ions in paramagnetic battery materials. Linking the local ionic environments and NMR signals requires expensive first-principles computational tools that have been developed… read more here.
Keywords: dynamic nmr; machine learning; battery materials; paramagnetic battery ... See more keywords