Nuclear Magnetic Resonance (NMR) Spectroscopy
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Updated: Jan 20, 2026
NMR Spectroscopy: Principle, NMR Active Nuclei, Applications
Published on: April 30, 2023
Xiaobo Qu1, Yihui Huang1, Hengfa Lu1
1Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, State Key Laboratory of Physical Chemistry of Solid Surfaces, Xiamen University, P.O.Box 979, Xiamen, 361005, China.
Deep learning accelerates Nuclear Magnetic Resonance (NMR) spectroscopy by reconstructing high-quality spectra from limited data. This method uses synthetic data, eliminating the need for extensive real-world NMR datasets.
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