Abstract
AbstractThe resolution of proton solid‐state NMR spectra is usually limited by broadening arising from dipolar interactions between spins. Magic‐angle spinning alleviates this broadening by inducing coherent averaging. However, even the highest spinning rates experimentally accessible today are not able to completely remove dipolar interactions. Here, we introduce a deep learning approach to determine pure isotropic proton spectra from a two‐dimensional set of magic‐angle spinning spectra acquired at different spinning rates. Applying the model to 8 organic solids yields high‐resolution 1H solid‐state NMR spectra with isotropic linewidths in the 50–400 Hz range.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
