High Fidelity GENETICS-AI RF pulses for NMR Spectroscopy and Imaging
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Gianluigi, Veglia
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Abstract
RF shapes for applications in Nuclear magnetic resonance and Imaging. All the shapes are in BRUKER format and can be directly used in pulse sequences for biomolecular NMR experiments or imaging. All the RF shapes are generated using a new algorithm called 'GENETICS-AI', which is a combination of an evolutionary algorithm and artificial intelligence. The main advantage of GENETICS-AI is the customizability of RF shape characteristics such as pulse operation, bandwidth, RF inhomogeneity compensation level and fidelity of the operation. The submitted files include pulses for inversion, excitation, refocusing with different bandwidths and RF inhomogeneity compensation levels.
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RF pulse shapes are copyrighted by Regents of the University of Minnesota and the software for generating RF shapes covered by US patent 11,221,384. Regents of the University of Minnesota will license the use of RF shapes solely for educational and research purposes by non-profit institutions and US government agencies only. For other proposed uses, contact umotc@umn.edu.See the readme file for more information about this license and the use of the files.
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NIH grants (GM 64742, HL 144130, GM 100310)
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Veliparambil Subrahmanian, Manu. (2022). High Fidelity GENETICS-AI RF pulses for NMR Spectroscopy and Imaging. Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/f9pb-ma04.
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Bruker Shapes.zip
NMR RF shapes in Bruker format
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README.md
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