High Fidelity GENETICS-AI RF pulses for NMR Spectroscopy and Imaging

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High Fidelity GENETICS-AI RF pulses for NMR Spectroscopy and Imaging

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2022-07-14

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Gianluigi, Veglia
vegli001@umn.edu

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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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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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