biostudies-literatureCordova MSwiss National Science Foundatione202216607https://www.ebi.ac.uk/biostudies/studies/S-EPMC10107932biostudies-literatureUnknown62(8)The 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 ¹ H solid-state NMR spectra with isotropic linewidths in the 50-400 Hz range.Angewandte Chemie (International ed. in English)Pure Isotropic Proton NMR Spectra in Solids using Deep Learning.PMC10107932200020212046NCCR MARVEL200020_212046Cordova MEmsley LTorodii DSimoes de Almeida BMoutzouri PfalsePure Isotropic Proton NMR Spectra in Solids using Deep Learning.The 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 ¹ H solid-state NMR spectra with isotropic linewidths in the 50-400 Hz range.2023-01-01T00:00:00Z2023 Feb2025-07-10T03:08:21.145Z2025-04-06T11:21:07.698ZS-EPMC101079323656254510.1002/anie.202216607