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Sub-sampling of NMR Correlation and Exchange Experiments
Overall, it could be shown that for a vast majority of instances, deep learning clearly outperforms regularization based inversion methods, if the signal is fully or close to fully sampled.
Deep Learning as a Method for Inversion of NMR Signals
The inversion network is applied to simulated NMR signals and the results compared with Tikhonov- and MTGV-regularization.
Bayesian Inference for NMR Spectroscopy with Applications to Chemical Quantification
Nuclear magnetic resonance (NMR) spectroscopy exploits the magnetic properties of atomic nuclei to discover the structure, reaction state and chemical environment of molecules.
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