Reconstruction of nuclear magnetic resonance spectroscopy with deep learning
Nuclear magnetic resonance (NMR) spectroscopy is widely used as an effective analytical tool for the analysis of chemical substances and proton structures. Multidimensional NMR spectra can provide more information about the structure of chemical substances compared to one-dimensional spectra, but as...
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| Format: | Thesis-Master by Coursework |
| Language: | English |
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Nanyang Technological University
2022
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| Online Access: | https://hdl.handle.net/10356/155730 |